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Faced with a growing problem due to environmental problems in the state of Michoacán and the irrational use of water, "Economic value of externalities in uncertainty and development in the central region of the Tacámbaro river basin" constitutes a paper that has the objective to estimate through fuzzy logic the Willingness to Pay of the users of the central region of the Tacámbaro River to carry out actions that allow increasing the flow of the river and avoiding its contamination. As well as specifying the socioeconomic value of externalities and the impacts that are generated in the regional development of the municipality due to the decrease of water in the basin. Information of great importance for the establishment of management actions for the Tacámbaro river basin in particular and for another body of water in general. [ABSTRACT FROM AUTHOR]

This paper reviews the different approaches and policies that are most used in the literature to measure the level of poverty with tools of fuzzy logic. These policies are based on the integrated measurement method (IM), which combines poverty line methods and unmet basic needs. Moreover, we present the most recent studies on the measurement of the level of poverty in different sectors and populations, as well as the more relevant conclusions of the work. [ABSTRACT FROM AUTHOR]

Introduction/purpose: Destabilization of critical resources (CRs) or critical infrastructure (CI) important for the stability of the state can be dangerous for society, economy, and especially national security. Disruption of one CI object or one of its parts often affects and causes disruption of other dependent CI, because the modern society has become a "networked society". The paper proposes a model for quantifying and defining the interdependence between different CIs and their priorities, based on statements of experts. Methods 9 : The proposed methods that combine the Laboratory for Testing and Evaluation of Decision Making (DEMATEL) and the Analytical Network Process (ANP) have been successfully modified by fuzzy logic theory in this work. Results: Integrating multiple methods into a unique input data analysis model significantly affects the change in ranking. Conclusion: The work contributes to military science in making strategic decisions related to national security management through increasing the resilience of CRs and the societies that rely on them. [ABSTRACT FROM AUTHOR]

The objective of the paper is to show the increase in rural municipal inequality using fuzzy logic for the state of Jalisco, Mexico, from 2000 to 2015. Methodology: a fuzzy index was developed to measure municipal inequality, considering rural activity, both sugarcane and non-cane, public spending, economic performance, urbanization and the Gini Index. Results: the index showed a trend of increasing inequality between sugarcane and non-cane municipalities. Limitations: The study should ensure a clear conceptual relationship between the analysis tool and the measurement. Value: The use of fuzzy logic reveals that the role of the Mexican state has been important in this, and the proposed index highlights the pattern. Conclusions: during the first sixteen years of the 21st century, municipal and rural inequality in sugarcane and non-cane municipalities in Jalisco increased. [ABSTRACT FROM AUTHOR]

Metallic materials used in drinking water distribution systems show corrosion damage, which makes it necessary to develop simple and accessible methods that allow preventive and/or corrective measures to be carried out quickly. The work that is described in this paper intended to build a fuzzy logic model based on data obtained from visual inspections of the cladding, and the visible deterioration appearances degree (aging) of the elements. The methodological design used was quantitative research, also known as a mathematical approach, distinguished by the interpretation of data, statistics, numbers, and tables, among others. The data and records of various pressure reducing stations (ERPs) in zones 1 and 4 of aqueduct and sewer in Bogotá were analyzed. Fuzzy Logic Toolbox? MATLAB software complementing was used, based on the selection of two parameters (protection, and coating and aging). Each one was assigned quality conditions that operated as the program input data. By applying the model, a three-dimensional surface was obtained with the values of the corrosion states, according to the quality of the coating and the aging dimension. Four zones were identified, which represent the corrosion states of the evaluated elements: optimal, imperceptible, light, and severe, with no transition interval. The results show that this methodology provides a reliable evaluation of the state of corrosion of the evaluated metal structures. It is concluded that the implementation of the fuzzy inference system provides a simple application tool, which can be adjusted with information collected in routine preventive or corrective maintenance work, and in activities that relate other variables to corrosion. [ABSTRACT FROM AUTHOR]

In this paper an explanation of the structure and how a self-organized neuro-fuzzy inference system (SONFIS) works, is given with detail. The study uses three classification problems (Fisher iris, Breast Cancer and Human Activities) to then compare the results with well-known universal classifiers such as artificial neural networks (ANN) and multiclass support vector machines (SVM). A brief description of each of these methods is presented. The results show that SONFIS has a similar, and sometimes better, performance than ANN and SVM with the advantage of generating a rule basis that helps understanding the inner structure of the problem. [ABSTRACT FROM AUTHOR]

This paper presents the design and simulation of a buck charge controller for lead-acid accumulators used in photovoltaic applications, based on fuzzy control techniques. The proposed design fully implements the three-stage algorithm: bulk, absorption, and flotation, which allows the battery to be accurately charged, ensuring its integrity and durability. The control system consists of two independent fuzzy controllers, the first regulates the current accurately in the bulk stage, while the second regulates the voltage in the absorption, and flotation stages; additionally, it has switching logic, which allows transitioning between the different stages of the algorithm. The system was designed and simulated in MATLAB; and the results show the correct functionality of the design by simulating the charge of 12 V accumulators with capacities from 60 to 120 Ah. Even though in the literature, there are similar works, very few use an algorithm with multiple stages completely, and that can be implemented directly in economic systems such as microcontrollers. This work can be taken as a reference in the design of charge controllers even different from those based on fuzzy logic, which represents an important didactic contribution. [ABSTRACT FROM AUTHOR]

The objective of this paper was to evaluate the performance of crisp and fuzzy classification criteria in the construction of deductive potential distribution models of exotic insects. As case studies, Bactrocera oleae (Gmelin) (Diptera: Tephritidae) and Cerotoma arcuatus (Olivier) (Coleoptera: Chrysomelidae) were selected. Considering crisp and fuzzy classification for raster layers of maximum, average and minimum daily temperature, a relative bioclimatic risk index was generated. The number of days with optimal conditions for pests' development was considered. Sensitivity analyses of both models were performed. Considering each case evaluated and the variables used, deductive pest distribution models made by fuzzy classification was more robust and less conservative in the determination of potential phytosanitary risk areas than those made with crisp classification criteria. This last case was more sensitive and would have a greater capacity to discriminate areas with different environmental risk profiles. [ABSTRACT FROM AUTHOR]

Over time, organizations have adapted and considered necessary to establish a solid financial plan that contributes to the fulfillment of maximizing shareholder wealth and, therefore, focuses on improving the financial health of an entity. After carrying out the corresponding diagnosis in the present investigation, it was determined the requirement to establish a working capital budget for the company Transcomerinter Cía. Ltda., That improves the levels of liquidity and therefore contributes to its growth and development. This paper aims to study and evaluate the state of the working capital for the company Transcomerinter Cía. Ltda. To achieve this, a group of financial indicators is chosen and a joint result of the state of working capital is reached with the help of the Certainty Factor taken from MYCIN, the well-known Expert System for medical diagnoses. This allows proposing measures to reverse this unfavorable situation. [ABSTRACT FROM AUTHOR]

The objective of this paper was to compare the incidence of dynamic difficulty adjustment (DDA) in a in a motor skill rehabilitation game, compared to a manual configuration. To achieve that, a virtual tool called "Bug catcher" was developed, which is focused in upper limb rehabilitation. This tool uses a DDA based in fuzzy logic. The population involved for the present study were made by two users, an 18-year-old patient with a hemiparesis that limits her motor ability in her left upper limb, and a 37-year-old patient with motor monoparesis in his right upper limb. This tool was used in both users, each one with a different configuration (automatic or manual), and the motor ability from both participants was objectively measured using Box and Blocks Test, applied before, during and after each session; additionally, a performance index (percentage of success) was defined in order to determine the progress of the participants in the virtual tool. As a result, it was obtained that user number one using the game with DDA, managed to obtain not only a better performance in the sessions but also an important advance in her motor skill in comparison to the user 2 with the manual configuration. [ABSTRACT FROM AUTHOR]

The benefits of agricultural production for the society and its interaction with the environment are subjective or imprecise, due to that it is suitable to apply mathematical models of fuzzy logic to that interrelation. It is required to describe the possible applications of these tools to decision-making in Cuban agriculture. This paper refers the way of organizing a group of agrosystems, according to the symptoms of soil overuse syndrome in order to restructure biodiversity to minimize the central mechanism. [ABSTRACT FROM AUTHOR]

Progressive Cavity Pumps (PCP) is an artificial fluid lift method widely used in oil wells of Colombia, Canada and Venezuela, where the pump is driven by a rod connected to the motor located at the surface. Efficiency in energy production is critical, and the current control techniques used are based on discrete changes, seeking for an operational point. This approach can be improved, and optimization techniques proposed are presented in this paper. Strategies of control based on continuous adjustments of motor speed and fuzzy logic together with a downhole pressure sensor are simulated for this nonlinear system. Utilization of Kalman filtering, for estimation of the fluid level in wells that are not instrumented, is proposed. Linear Quadratic Regulator (LQR) also is used to optimize production performance. Results show good performance compared with current techniques. [ABSTRACT FROM AUTHOR]

This paper presents a controller performance that is develop employing an adaptive B-spline neural network algorithm for adjusting the rotor speed of the permanent magnet synchronous motor. It includes a comparative analysis with three control strategies: conventional proportional integral, sliding mode and fuzzy logic. Also, gives a systematic way to determine the optimal control gains and improve the tracking error performance. A methodology for the adaptive controller and its training procedure are explained. The efficacy of the proposed method is analyzed using time simulations where the motor is subjected to disturbances and reference changes. The proposed control technique exhibits the best performance because it can adapt to every condition, demanding low computational effort for an on-line operation and considering the system nonlinearities. [ABSTRACT FROM AUTHOR]

This paper shows the development and control of a differential robot (unmanned vehicle) used to evade frontal obstacles utilizing Fuzzy editor in Matlab® software. This robot is capable of making accurate and precise decisions by employing Fuzzy Association Memory (FAM) rules. These decisions are based on the distance between the robot and the obstacle, with respect to the left, right, and frontal part of the robot. This type of robots can be applied in transportation, mainly to predetermined single routes, minimizing the run time due to a better decision-making process in taking the optimal route. [ABSTRACT FROM AUTHOR]

In the current scenario of the globalized world, negotiation is a habitual activity in which companies strengthen or not their competitive position. Although in these negotiation processes having information and being in a good position with respect to the other party is important, it is also fundamental to analyze the behavior of those human resources that in the end determine to a large extent the outcome of the same. In this paper we present a causality analysis that identifies a group of elements that influence the performance of negotiators. The novelty of the proposal is that, this analysis is done through the study of the Theory of Forgotten Effects, which allows analyzing which are the variables that have the greatest impact on the performance of negotiators and the theory of subsets blurred The investigation is structured in three epigraphs. In the first, some theoretical references related to negotiation are presented. In the second, the Forgotten Effects Theory is presented for a third and final epigraph to apply this theory to the analysis of the negotiators' performance, through a case study. The fundamental contribution of the proposal lies in the extrapolation of the theory of forgotten effects to the field of negotiation. [ABSTRACT FROM AUTHOR]

Literature on education has focused on comparing student enrollment data, literacy rates, and education systems in developed and developing countries, disregarding the subject of quality in education. This is likely due to the failure to reach an agreement on how to measure it. This paper examines how education can contribute to an increased human capital possessed by labor force, so productivity can be enhanced, and production can be in balance. It also examines how education boosts the economic growth by means of innovation that education also promotes, and answers the question, whether or not quality in education has an influence on the economic growth? by using new methodologies to find a single way of measuring the quality in education in the United Mexican States, and its impact on the economic growth. [ABSTRACT FROM AUTHOR]

In this paper we carry out a comparison among different techniques applied to simulation and representation of the expansion of the coffee berry borer in the Colombian coffee crops. First, we make a brief description of techniques: neural networks, neuro-fuzzy and fuzzy logic. Then, the models implementation is described and finally, we shown the comparison among these models, highlighting performance of neural networks. [ABSTRACT FROM AUTHOR]

A Data Warehouse (DW) is a data repository containing data from different sources. It is used to support decision-making through data analysis as it allows quantitative indicators such as amounts. However, data analysis lack of data of diffuse nature. For instance, in an academic context, the answer to the query "What students scored with good final grade" cannot be obtained from a traditional DW because they do not handle qualitative information. Due to the limitations of traditional DW the use of fuzzy logic may extend its capabilities through a fuzzy DW (FDW). This paper presents an implementation of FDW aimed at allowing qualitative analysis of scholar data supporting decision making process. The FDW implemented operate fuzzy measures, fuzzy facts, fuzzy relations and fuzzy levels. [ABSTRACT FROM AUTHOR]

The paper has an interpretation proposal of the horizontal and verticals measured geodetic data bases of the displacements of an earth dam, using several tools and computational techniques such as scientific visualization, GIS, geostatistics, numerical methods and some elements performed with fuzzy logic. The multiple interaction of these tools and techniques in the processing and analysis of data allowed addressing the study phenomenon with a minimum simplification degree through displaying of the results in the space-time cube linked with a scale Hazard, Vulnerability and Risk associated with geospatial data distribution in the structure. [ABSTRACT FROM AUTHOR]

This paper presents a clarification model in the fuzzy sense based on the Membership Inverse Function (MIF), in Control Theory. It is considered as an identification and requires bounded input and output signals. The sign function and its derivative is regarded as a Gaussian function into the mathematical Membership description. Specifically, the sign function considers the difference between the absolute state variable values and its centroid, rather than remaining in the triangle inequality. Therefore, the theoretical result applied in Matlab® using the reference values as an identification process in an Auto Regressive Moving Average (ARMA) (1, 1) model describes the performance. The clarification converging in almost all points of the desired signal depends on the different initial conditions. The convergence obtained by the functional error built by the second probability moment was also used and applied in the same software giving an illustrative description. [ABSTRACT FROM AUTHOR]

The establishment of networks of scientific collaboration of academic groups occurs like a strategic element for the generation and dissemination of knowledge. It is in this sense that the analysis and study of these networks and their results are presented in an appropriate way, however, it is a complex and multidimensional phenomenon. This is why new methods and tools are required. This paper explores the theory of fuzzy logic as an element of analysis that allows to accurately distinguish in quantifying the potential of academic groups in a multidimensional way. It makes evident the greater potential of academic bodies that make scientific collaboration networks. [ABSTRACT FROM AUTHOR]

A fuzzy classifier is a system that assigns a class label to object based on a description of it and makes use of fuzzy sets as part of its operation. Its functioning can be optimized using genetic algorithms, ensuring viable solutions. The paper proposes a fuzzy classifier optimized using a genetic algorithm hybridized with a fuzzy clustering technique. A prototype is implemented and evaluated with synthetic reference data sets as possible classification problems treatments for malignant neoplastic diseases. The results are compared with other classifiers found in the literature on the same test data. The conclusion is that the proposed method obtained similar results with functions easier to interpret. [ABSTRACT FROM AUTHOR]

This paper proposes a fuzzy inference system for color manipulation in digital images to change the art style to psychedelic art. Initially through sets and fuzzy inference rules, generating images with colors characteristic of this type of art. Later fits inference system with the technique proposed an optimization algorithm based on particle swarms evidencing improved results. [ABSTRACT FROM AUTHOR]

This article considers the use of fuzzy logic to support the evaluation of project status. A brief description of fuzzy set theory, fuzzy logic and the process of calculation is given. The major goal of this paper is to present an expert decision-making fuzzy model for evaluating project status. The model results from the application of the Fuzzy Logic Toolbox. This fuzzy model is based on two basic indices, schedule performance index (SPI) and cost performance index (CPI), of earned value management (EVM). The ad- vantage of the fuzzy model is the ability to transform the input indices SPI and CPI into linguistic variables, as well as linguistic evaluation of over- all project status (output). With this approach it is possible to simulate the risk and uncertainty that are always associated with real projects. The scheme of the model, rule block, attributes and their membership functions are mentioned in a case study. The case study contains real data on the development of values of indices SPI and CPI for one project in the field of IT (data file). The analysed project ran from March 2012 to July 2012. The indices SPI and CPI were obtained from control project milestones. There are 5 control milestones in total. The parameters of the model are adjusted on the basis of the data file for each of the variables. The use of fuzzy logic is a particular advantage in decision-making processes where description by algorithms is extremely difficult and criteria are multiplied. [ABSTRACT FROM AUTHOR]

Magnetorheological dampers are energy dissipation devices that develop variable control forces useful for the administration of structural systems under the effect of dynamic loads. In general, these devices are governed by complex and sophisticated algorithms that required a high processing power. This paper proposes the use of a control algorithm based on fuzzy logic which makes adjustments to the command signal of magnetorheological dampers in a simple and faster way based on the heuristic knowledge of the structure analyzed. From a numerical example was possible to establish that the proposed control project was competent and reliable enough to manage control forces, achieving peak of responses reductions up to 68%. [ABSTRACT FROM AUTHOR]

This article provides a methodology for calculating the health index for oil-paper insulation system in power transformers with rated voltage between 69kV and 230kV, using fuzzy logic. The article also provides a detailed review of the existing limits of acceptance, according to the present standards and for each of the six input variables: moisture content, acidity, dielectric strength, dissipation factor oil, dissolved gas and furan content. With this information, the membership functions are obtained and the six input values are related to the output value, which represents the health index of the transformer. Using data provided by a company of the Colombian electricity sector for 18 power transformers the health index is calculated and the results are analyzed. The health index could be useful for establishing a ranking of the state of power transformers with the aim of better assigning resources and maintenance activities. [ABSTRACT FROM AUTHOR]

There are currently different information systems that can predict behavior from large sets of data and which allow decision-making in companies; however, these tools are difficult to acquire due to their complexity and robustness, as well as high costs or legal restrictions. Information management in companies becomes a priority activity, because good management in data handling improves processes. Accordingly, this paper shows the development of a software based on data mining techniques, thus enabling the collection and storage of information in order to analyze hidden behavior patterns in a company's inventory department. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to present a characterization of the evaluation of public policy and specific programs for social development, such as the HÁBITAT Program, proposing an alternative to the common practice of evaluation by presenting a methodology based on fuzzy logic theory and its applications. The results show two priority items, the first of them is the extent to impact the Hábitat Program has achieved in their areas of intervention, the second is the relevance of using the theory of fuzzy logic to the comprehension phenomena of political and practical application addressed to the welfare and social interest. [ABSTRACT FROM AUTHOR]

One of the most important economic strategic sectors in any economy is the electricity market. Its main feature is its oligopolistic character favoured by the returns to scale which act as an entry barrier. As a result, the energy generators can use their power market in order to increase their benefits through the daily offered price and quantity of energy for each of their power plants. This paper presents a methodology for estimating the daily offered price of the most important power stations in Colombia (hydraulic and thermal) by applying artificial intelligence techniques: Fuzzy Logic and Neural Networks. Such techniques are found to be partially useful particularly for price tendencies. It also compares the results with autoregressive models that turned out inappropriate for the case of study. [ABSTRACT FROM AUTHOR]

This work proposes a Dynamic fuzzy logic Controller for the navigation problem of an electric wheelchair. The controller uses present data from three ultrasonic sensors as the main source of information from the environment. However other inputs, named as "dynamic time delay", are obtained from past samples of those static data and are used to design the rule base. Although fuzzy logic controllers with static inputs could solve basic navigation problems, the proposed structure with dynamic inputs gets an excellent performance for more complex navigation problems. There were designed static and dynamic navigation strategies, which were first deployed in software just to evaluate their behavior. They were tested in a maze and their trajectories were compared to select the best. For improving its response, the dynamic fuzzy logic strategy was deployed in hardware. The paper presents a comparison between the software and hardware applications to illustrate the possibility of implementing the proposed methodology in different platforms. The dynamic fuzzy logic controller led the electric wheelchair without colliding against walls, and is a high performance navigation system. Moreover, this controller could solve the sensor limitations. [ABSTRACT FROM AUTHOR]

This paper presents the model of a virtual drive system of an underwater mobile platform inspired by biomimicry, selecting the subcarangiform mode of fishes as locomotion system which is based on body and caudal fins (BCF). This model uses two-thirds of the body for thrust and one of the most important features is the high maneuverability. The development of the model is based on simulation by designing the 3D model of the prototype using a computer aided design software (CAD), an analysis by considering the direct and inverse kinematics and a navigation control system by implementing the fuzzy logic. The algorithm implemented to solve the inverse kinematics is based on geometric methods considering the workspace and dividing it into subareas in order to analyze position, velocity, acceleration and torque for every joint of the robot fish. Also, a navigation control algorithm was developed using the fuzzy logic as non-linear control method. The results represent an approximation of subacarangiform mode offish behaviours for future physical implementation of an underwater platform inspired by biomimicry. [ABSTRACT FROM AUTHOR]

This paper presents the application of blurred or diffuse logic, to identify the types of soils most affected in an agro-system, by the Central Mechanism of Soil's Overuse Syndrome, taking as a case study: the presence of the syndrome symptoms and the degree in which they affect the agro-system: Finca "La Esperanza", in the province of Camagüey, where the Big6 model was used. Besides, twelve types of soils are identified, which are the most affected by the aforementioned syndrome and symptoms with far-reaching effect on these soils. The rigorous execution of the different steps of the applied blurred method admitted having selected the most affected soils by the twelve signs of the Central Mechanism of Soil's Overuse Syndrome. [ABSTRACT FROM AUTHOR]

In this paper we consider a LMI-Based Fuzzy Visual Servoing controller for planar robot manipulators in the presence of parametric uncertainties associated with robot dynamics and camera parameters. For tracking purposes, a Takagi-Sugeno controller is used, based on the dynamic model of the robot in image coordinates. The design includes the use of Lyapunov functions as a fuzzy mixture of multiple quadratic functions for stability proof. Experimental results on two different robots (LAW3 SCHUNK and A465 CRS Robotics) show the good performance of the complete system. [ABSTRACT FROM AUTHOR]

Nowadays, both the quantity of information stored and the necessity of developing algorithms in order to extract useful knowledge of this information automatically have been increased in a parallel way. These algorithms are included inside the area of extraction of knowledge in databases and they are focused on a certain model (rules, groups, trees). The development of appropriate models can lead to obtaining successful decisions and for that reason this paper proposes a more flexible way to represent the extracted knowledge of databases. The presented method is based on the paradigm of predicates logic and the calculation of its values using fuzzy logic operators. It also includes a process of optimization that allows to obtain the results and to improve them. [ABSTRACT FROM AUTHOR]

This paper describes the identification by the compound digital filter with two estimators involved in the Kalman filter, the first corresponds to stochastic gradient describing the transition function and the second obtains the innovation process gain through fuzzy logic. The filtering process has time constraints for your response occurring before the reference system changes to another state. The results are formally described throughout the document. Auto-Regressive Moving Averages model was proposed (ARMA (1, 1)) as the reference system. The filtering algorithm was developed in MatLab® software getting the integrated filter operations illustrated with its graphics of convergence and response, concluding with brief an analysis of the results. [ABSTRACT FROM AUTHOR]

In this paper it is carried out a methodology based on Fuzzy Logic techniques for searching a solution which has been reached by consensus. This solution is related to labour reform and considers Trade Unions, Employers' Associations, and Government opinions. The proposed model belongs to the field of a qualitative or structural methodology based on uncertainty. This viewpoint is particularly appropriate at present when economic and social changes are so fast and deep that it is impossible to know what the future will bring. [ABSTRACT FROM AUTHOR]

This paper describes the design of a smart grid for a hybrid power system using an intelligent technique called fuzzy logic control. The sources of the system are: a photovoltaic system, an electric accumulator or batteries, and a conventional electric network. This system is supported by a comparison rule of energy levels (fuzzy logic) whose prior source for power supplying are photovoltaic cells. When the energy supplied by the system seems to be insufficient to feed a minimum load of 300 Watts, this will activate automatically the batteries as power supplier, which are initially charged by a set of solar cells. As a last resort the system will switch the supply to the electric network, as long as it is established that those sources are not able to provide the current requirement that the load needs, in this way the energy is supplied continuously, and uninterrupted. For conditioning the signals obtained from the photovoltaic system and batteries, we developed a DC-AC inverter using PWM strategies as a transformation device and using power MOSFETs as the switching devices of the inverter controlled. [ABSTRACT FROM AUTHOR]

Technological evolution has given us the tools to solve the problems of the industry safely, economically and efficiently: this paper proposes the implementation of fuzzy logic as a modern perspective that aims at providing solutions to the difficulties faced by electrics grids from the generation and transport to the consumption of energy. In the approach that we propose to study smart grids we use sentences and logical sets that run the analysis and interpretation of data collected from the external environment and mathematical models that are the ideal translator between the language of man and machines. These models permit making the appropriate corrections to an intelligent agent that is able to learn and use them autonomously in the future. [ABSTRACT FROM AUTHOR]

In this paper, we present four models of uncertainty in the MRP closed systems in the production components, such as: manufacturing capacity of each product, delivery time and inventory availability. These parameters are processed by the fuzzy logic by modeling an MRP closed system deterministic. Therefore, three models are initially MRP closed system, where each independently consider uncertainty in capacity, delivery time and inventory availability. Also, we present a fourth model of MRP closed system jointly analyzes the uncertainty in the three parameters mentioned above. Each of these models is corroborated with information from a company in the Colombian electricity area, evaluating the total cost of the production plan, inventory levels, service level and computational complexity. [ABSTRACT FROM AUTHOR]

This paper presents an experimental study, in several scenarios of energy consumption in a vapor compression refrigeration system when it operates using ON-OFF, linear and fuzzy logic control schemes. The proposed study scenarios pretend to emulate real operation conditions in refrigeration systems such as a disturbance produced by the door opening. In the test bench used in this study the ON-OFF, PID and fuzzy logic control strategies were implemented via Labview® and National Instruments® hardware. The system provides the energy consumption in each control strategy for a given set of conditions. In addition, the vapor temperature tuning is observed. The results reveal larger energy savings, near 25%, via linear control and fuzzy logic and a satisfactory tracking of the reference compared with ON-OFF. The results of this study can be used as support information when determining a control scheme for a large refrigeration system. [ABSTRACT FROM AUTHOR]

Different strategies for urban traffic control have been presented over time. This paper presents the design of a vehicular traffic model, examining the existing traffic through a serie of traffic lights on a road. From this model the times of duration and phase of the traffic lights are synchronized, using the Adaptive Network Based Fuzzy Inference Systems (ANFIS). The model is simulated and the results are evaluated at macroscopic level with the fixed time model, currently operating in Bogota-Colombia. [ABSTRACT FROM AUTHOR]

Now the customers are not passive, they are highly networked and connected with companies. Some companies take advantage of these features to innovate products from customer contributions. Co - creation like collaborative model to the innovation is characterized from being divided into interrelated stages in order to capture client's contributions in an appropriate way. The ability to assess and rank the contributions of the actors involved in this collaborative process is a crucial organizations task. The present paper proposes a fuzzy system that allows valuation for agent's contributions that participate in a collaborative way in products and services co - creation. [ABSTRACT FROM AUTHOR]

This research paper first establishes a theoretical framework and a relationship between trust and information, and presents the concepts necessary for understanding the proposed model. Then, it sets out the role of information in the organization and how its management impacts the organization resources. Subsequently, a fuzzy logic model for trust in the information management is proposed, which assigns quantitative values to non-deterministic variables (qualitative) and then add them in a quantitative result. In the approach of this model the main variables of trust in the information and how they interacted, with the help of buyers and an expert panel were identified. Finally, some conclusions are presented. [ABSTRACT FROM AUTHOR]

This paper shows the quantitative analysis methods, these are applied to make decision task in which are involved uncertainty criteria, these method allows the participation of workers, experts and team work, at the general strategy design of organization. The Construction and Repairing Enterprise of Nickel Industry ECRIN, belongs to building sector at MOA region, which open out to a new challenges; the development of two productive factories of nickel raw became in an interesting attractive sector for a national investment and abroad, where competitiveness turn into the expectation satisfaction of internal and external customers and suppliers. [ABSTRACT FROM AUTHOR]

This paper described the problem of path-planning in mobile robots in a partially structured environment. The work was divided in three parts: design of a mechatronic system, denominated Robot IO, study of advantages and disadvantages of three path-planning algorithms: neural nets, genetic algorithms and fuzzy logic, and implementation of algorithms that allow to identify the workspace where IO moves. [ABSTRACT FROM AUTHOR]

In this paper, we develop a fuzzy analytical model, which solves a multiobjective problem in multicast transmission with static trees over GMPLS networks. A model proponed by Donoso [4] was used. The multiobjective problem is solved through metaheuristic wit h evolutionary algorithms, in this case SPEA2 solving a NP-Hard problem in polynomial time. Additionally, a Fuzzy Evolutionary Algorithm based on SPEA2 is implemented. Finally, the comparison between FSPEA2 and SPEA2 is realized and we are giving some conclusions. [ABSTRACT FROM AUTHOR]

Competition in tourism has become one of the main concerns in destination management in those countries where tourism development has taken a step forward. The purpose of this paper is to analyze the present development of the Santa Lucia tourist cluster compared to its nearest internal competitors; to identify its competitive position in order to propose actions and alternatives that support its improvement as a tourist destination and so to contribute to attaining a more competitive "Cuba Destination" in the Caribbean context. To obtain a comparative appraisal of clusters with similar tourism services, systems of attractions, and markets, an application based on fuzzy logic that applies preference relations has been developed in the methodological procedure. This allows for a hierarchical arrangement within the whole of compared destinations and facilitates decision-making in this environment with its uncertainties and non-lineal approaches. [ABSTRACT FROM AUTHOR]

In this paper, the design of a genetic algorithm that modifies and recalculates the values those describe the membership functions for a fuzzy controller, has showed. The controller is applied in a bio-film fermentative process to obtain an improvement in the dichromate's production (DCM). The membership functions act over the concentration of substrate in the aeration tank so that produces the homogenous double saturation kinetic of the DCM, and this is increased, obtaining an improvement in their production. This is shown by development of the numerical algorithm. [ABSTRACT FROM AUTHOR]

In this paper, it is proposed the use of quantitative methods like the fuzzy logic and the system dynamics, for the understanding of some important conceptual elements in the analysis of rural urban interfaces zones. Those elements are: the degree of transition of their attributes, their complex structure, and their system functionality. These methods together with the geographic information systems, could contribute to delimit the physical-space boundaries of these zones. Finally, it is considered that for the later environmental planning of this type of zones, the fuzzy multiobjective analysis contributes to obtain optimal decisions, in order to obtain an environmental sustainability, a goal that is multidimensional, integral and complex. [ABSTRACT FROM AUTHOR]

Data and information analysis, together with the representation and modeling of the uncertainties associated with real world phenomena and reality perception are fundamental tasks in any engineering work. Traditionally, uncertainty has been represented by the probability theory. However, there are uncertainty types which could be better represented by other theories like fuzzy sets, possibility theory and Depster-Shafer theory, among others. This paper describes uncertainty types and the use of fuzzy sets, fuzzy inference and fuzzy reasoning as alternative to well known techniques of probabilistic inference and reasoning when vagueness is present and expert knowledge and experience is to be included in the reasoning system. [ABSTRACT FROM AUTHOR]