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Copyright of Economía, Sociedad y Territorio is the property of El Colegio Mexiquense and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In lithium mining in the Argentine Northwest, mining companies are located strategically, depending on the availability of brines, but far from urban centers. Therefore, when selecting the right provider, it is necessary to consider multiple criteria. This paper presents the first multi-criteria decision model for the selecting suppliers in the lithium industry in the Argentine Northwest, in which a criterion of great importance for the region is considered and which is novel for the sector. From it, companies can select the best supplier through a ranking of qualifications without the variation that the preference of the person making the decision supposes. Fuzzy Analytical Hierarchy Process (FAHP) methods were integrated with Fuzzy Logic and the SCOR model. Therefore, it can be used in environments of uncertainty and ambiguity, combining quantitative and qualitative information. 6 criteria were defined with 3 levels of assessment: Quality, Price, Financial Solidity, Performance, After-sales Service, and Belonging. 729 combinations with possible selection results were obtained. This model was applied to four local suppliers by evaluating the input criteria. The result of the output variable Supplier Preferability was obtained, and from this, it was established which of them should be selected. This model it is expected to contribute to the decision-making of mining companies in the area. [ABSTRACT FROM AUTHOR]

Copyright of Tecnura is the property of Tecnura and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Humanistic training in legal professionals is essential for the good performance of the future specialist in this profession. This training should begin from the student's phase. The present paper aims to study the situation of the competences on the humanistic subjects in the students of the legal career of the Autonomous Regional University of the Andes, extension Santo Domingo, additionally to select alternatives to increase the quality in this aspect. To do this, a survey applied to students was statistically evaluated and a group of experts assessed and ordered, according to their importance, possible alternatives to improve humanistic education. They decided to use the technique called Neutrosophic TOPSIS. This method is used in the framework of neutrosophy, which incorporates the uncertainty and imprecision to the Multicriteria Decision, in the form of three membership functions, one of truthfulness, another of indeterminacy and the third one of falsity. [ABSTRACT FROM AUTHOR]

Copyright of Mercados y Negocios is the property of Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista EIA is the property of Escuela de Ingenieria de Antioquia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Recursos Rurais is the property of Universidad de Santiago de Compostela, Servicio de Publicaciones and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Ingeniería Industrial is the property of Departamento de Ingenieria Industrial, Universidad del Bio-Bio and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, it is proposed a method to carry out an evaluation of the objectives that may conflict during the task planning and assignment task in a two-mesh multicomputer system, which includes the evaluation of the waiting, processing and transfer times of tasks. In the first instance, the proposed method uses two algorithms: an assignment algorithm for detecting the free processors in a mesh and a dynamic algorithm for selecting the tasks in a waiting queue that is susceptible to be assigned to the free objective system processors. To select the processors a set of tasks will be assigned, this method uses additionally a distribution estimation algorithm for determining which processors offer the best assignment solution respect to the impact of the evaluated objectives in the system performance. The results obtained with the proposed method showed an improvement in the waiting task and processing times compared to the results produced by task assignment techniques such as the lineal technique and the Hilbert curves. [ABSTRACT FROM AUTHOR]

Because actions that contribute to mitigate climate change are important, this paper presents a tool to estimate the cost of carbon sequestration in soils. The situation is modeled as a bi-objective optimization problem (minimizing the cost of carbon sequestration and maximizing the carbon absorption). The Ant Colony heuristic technique is applied to solve the problem, using the methodology proposed by Iredi (2001) to calculate the probability that an ant moves from node i to node j. The data of the estimation of carbon sequestration in the coffee plant, in six municipalities of the Sierra Norte of Puebla, was provided by the Department of Agricultural Research (DICA- ICUAP). We also used the information published by the National Institute of Statistics, Geography and Informatics (INEGI) about the costs of irrigation and labor coffee in those municipalities. Because the data of the six municipalities, provided by DICA was not enough to generate the Pareto frontier, we developed a generator of artificial instances, in order to test the proposed algorithm. The evidence suggested that the parameters α and β are particularly important to calculate the probability that an ant moves from node i to node j, and the Pareto frontier, can be obtained with a number of iterations equal to 50% of the number of ants and a number of municipalities equal to ten. As results, we present the estimated costs of carbon sequestration per ton. [ABSTRACT FROM AUTHOR]

Copyright of Education Policy Analysis Archives / Archivos Analíticos de Políticas Educativas / Arquivos Analíticos de Políticas Educativas is the property of Educational Policy Analysis Archives & Education Review and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the modern life, competence, productive development and profitability make possible every day for an enterprise to look for the best decision takings by means of statistics, mathematical modeling and computation taking into account environment and its relationship with production. In this paper it is shown a new scope of mathematical modeling and the multiobjective optimization for satisfying production problems and contributing to the environment and society as a whole. Its objective is to give a new scope of multicriteria modeling following traditional objectives of production optimization, profits, costs and others which would include new economic, social and ecological objectives in a way that they not only reach direct objectives in the entity but indirect ones for society. Is given an application of the multicriterial modeling in selected energy in a rural population. [ABSTRACT FROM AUTHOR]

This paper presents the application of a multiobjective linear model of the feeding process for a cattle assigned to meat production in a Cattle Farm. The multiobjective linear programming work uses the following criteria: Types of pasture, nutrients present in the animal diet, budget, as well as the total area to be cultivated and/or cleaned. Among the most relevant results are stated the superiority of the multiobjectives linear model whith respect to the unicriterial standards models This allows to optimal decisions making in the farm. [ABSTRACT FROM AUTHOR]