8 results on '"Siraj, Sajid"'
Search Results
2. Preference elicitation from pairwise comparisons in multi-criteria decision making
- Author
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Siraj, Sajid and Keane, John
- Subjects
658.05 ,Decision Making ,Multiobjective Optimization ,Pairwise Comparison ,AHP ,Multiple Criteria Decision Making - Abstract
Decision making is an essential activity for humans and often becomes complex in the presence of uncertainty or insufficient knowledge. This research aims at estimating preferences using pairwise comparisons. A decision maker uses pairwise comparison when he/she is unable to directly assign criteria weights or scores to the available options. The judgments provided in pairwise comparisons may not always be consistent for several reasons. Experimentation has been used to obtain statistical evidence related to the widely-used consistency measures. The results highlight the need to propose new consistency measures. Two new consistency measures - termed congruence and dissonance - are proposed to aid the decision maker in the process of elicitation. Inconsistencies in pairwise comparisons are of two types i.e. cardinal and ordinal. It is shown that both cardinal and ordinal consistency can be improved with the help of these two measures. A heuristic method is then devised to detect and remove intransitive judgments. The results suggest that the devised method is feasible for improving ordinal consistency and is computationally more efficient than the optimization-based methods. There exist situations when revision of judgments is not allowed and prioritization is required without attempting to remove inconsistency. A new prioritization method has been proposed using the graph-theoretic approach. Although the performance of the proposed prioritization method was found to be comparable to other approaches, it has practical limitation in terms of computation time. As a consequence, the problem of prioritization is explored as an optimization problem. A new method based on multi-objective optimization is formulated that offers multiple non-dominated solutions and outperforms all other relevant methods for inconsistent set of judgments. A priority estimation tool (PriEsT) has been developed that implements the proposed consistency measures and prioritization methods. In order to show the benefits of PriEsT, a case study involving Telecom infrastructure selection is presented.
- Published
- 2011
3. Correction: Quantifying and reducing the complexity of multi-line charts as a visual aid in multi-criteria decision-making.
- Author
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Huang, He and Siraj, Sajid
- Subjects
- *
VISUAL aids , *DECISION making , *OPERATIONS research , *LINES of credit - Abstract
This document is a correction notice for an article titled "Quantifying and reducing the complexity of multi-line charts as a visual aid in multi-criteria decision-making." The original article contained errors, particularly with the figures, which have now been updated. The corrected article is available online and is licensed under a Creative Commons Attribution 4.0 International License. Springer Nature, the publisher, remains neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]
- Published
- 2024
- Full Text
- View/download PDF
4. A generalized form of the distance-induced OWA operators – Demonstrating its use for evaluation indicator system in China.
- Author
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Gong, Chengju, Siraj, Sajid, Yu, Lean, and Fu, Lei
- Subjects
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MULTIPLE criteria decision making , *DECISION making , *AGGREGATION operators - Abstract
Using multi-criteria decision making (MCDM) technique to rank alternatives is a well-known area of study in which aggregation operators, such as ordered weighted averaging (OWA) and induced OWA (IOWA) operators, play an important role in merging information and producing an overall ranking. The distance measures from ideal argument values in aggregation operators have gained attention in recent literature. Distance measures are traditionally used as argument variables, which leads to the depiction that the attribute cannot be aggregated directly. In this paper, a generalized form of distance-induced OWA (DIOWA) operators is proposed with distance measures used as order-inducing variables. A distinctive benefit of DIOWA operators is that they permit us to consider ideal argument values while simultaneously also taking the attribute values as argument variables. Three variants of DIOWA operators are proposed and investigated, namely a) the Hamming distance-induced OWA (HDIOWA) operator, b) the normalized Hamming distance-induced OWA (NHDIOWA) operator, and c) the weighted Hamming distance-induced OWA (WHDIOWA) operator. We highlight their important properties and provide proofs to necessary theorems, and also suggest the determination methods for calculating their associated weights. We discuss further extensions of the proposed DIOWA operators with the help of generalized and quasi-arithmetic means. We discuss the use of our proposed family of operators for two different decision making situations, and demonstrate their validity by an illustrative numerical example. Finally, we apply the proposed operators to a real-life problem of ranking Chinese provinces for their science and technology (S&T) development levels. The proposed operators are shown to be a useful addition to the aggregation toolbox for decision analysts. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
5. SURE: A method for decision-making under uncertainty.
- Author
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Hodgett, Richard Edgar and Siraj, Sajid
- Subjects
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DECISION making , *UNCERTAINTY , *METHODOLOGY , *PHARMACEUTICAL industry , *MULTIPLE criteria decision making - Abstract
Highlights • A new decision-making methodology called Simulated Uncertainty Range Evaluations (SURE) for handling uncertainty is proposed. • A real-world case study for a pharmaceutical company is used to test the methodology. • Only SURE correctly identified the alternative eventually chosen by the company. Abstract Managerial decision-making often involves the consideration of multiple criteria with high levels of uncertainty. Multi-attribute utility theory, a primary method proposed for decision-making under uncertainty, has been repeatedly shown to be difficult to use in practice. This paper presents a novel approach termed Simulated Uncertainty Range Evaluations (SURE) to aid decision makers in the presence of high levels of uncertainty. SURE has evolved from an existing method that has been applied extensively in the pharmaceutical and speciality chemical sectors involving uncertain decisions in whole process design. The new method utilises simulations based upon triangular distributions to create a plot which visualises the preferences and overlapping uncertainties of decision alternatives. It facilitates decision-makers to visualise the not-so-obvious uncertainties of decision alternatives. In a real-world case study for a large pharmaceutical company, SURE was compared to other widely-used methods for decision-making and was the only method that correctly identified the alternative eventually chosen by the company. The case study demonstrates that SURE can perform better than other existing methods for decision-making involving multiple criteria and uncertainty. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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6. Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool.
- Author
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Ishizaka, Alessio, Siraj, Sajid, and Nemery, Philippe
- Subjects
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ANALYTIC hierarchy process , *MATHEMATICAL mappings , *OPEN source software , *MULTIPLE criteria decision making , *DECISION making - Abstract
Although Multi-Criteria Decision Making methods have been extensively used in energy planning, their descriptive use has been rarely considered. In this paper, we add an evolutionary description phase as an extension to the AHP (analytic hierarchy process) method that helps policy makers to gain insights into their decision problems. The proposed extension has been implemented in an open-source software that allows the users to visualize the difference of opinions within a decision process, and also the evolution of preferences over time. The method was tested in a two-phase experiment to understand the evolution of opinions on energy sources. Participants were asked to provide their preferences for different energy sources for the next twenty years for the United Kingdom. They were first asked to compare the options intuitively without using any structured approach, and then were given three months to compare the same set of options after collecting detailed information on the technical, economic, environmental and social impacts created by each of the selected energy sources. The proposed visualization method allow us to quickly discover the preference directions, and also the changes in their preferences from first to second phase. The proposed tool can help policy makers in better understanding of the energy planning problems that will lead us towards better planning and decisions in the energy sector. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
7. A HADOOP-BASED DATA PROCESSING PLATFORM FOR FRESH AGRO-PRODUCTS TRACEABILITY.
- Author
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Xu, Mark, Siraj, Sajid, and Lin Qi
- Subjects
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ELECTRONIC data processing , *FARM produce , *WIRELESS sensor networks , *DECISION making , *CLOUD computing - Abstract
Wireless sensors on cold chain containers generate huge volume of real-time data that needs efficient processing for decision making, e.g. shelf life prediction due to quality decay. This paper introduces a Cloud Computing Traceability Platform (CCTP) which is constructed on top of Hadoop cloud computing framework. The user requirements for CCTP are gathered through various means including literature review, case study, brainstorming and expert questionnaire. The system is developed in Java and is evaluated on its effectiveness. CCTP provides a cloud-based unified data mining and decision support model for enterprises to achieve fresh agro-product supply chain management optimization. [ABSTRACT FROM AUTHOR]
- Published
- 2013
8. An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events.
- Author
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Abdullah, Mohammad Fikry, Siraj, Sajid, and Hodgett, Richard E.
- Subjects
MULTIPLE criteria decision making ,DECISION making ,ANALYTIC hierarchy process ,EMERGENCY management ,DROUGHT management ,DROUGHTS ,NATURAL disasters ,DISASTERS - Abstract
This paper provides an overview of multi-criteria decision analysis (MCDA) applications in managing water-related disasters (WRD). Although MCDA has been widely used in managing natural disasters, it appears that no literature review has been conducted on the applications of MCDA in the disaster management phases of mitigation, preparedness, response, and recovery. Therefore, this paper fills this gap by providing a bibliometric analysis of MCDA applications in managing flood and drought events. Out of 818 articles retrieved from scientific databases, 149 articles were shortlisted and analyzed using a Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) approach. The results show a significant growth in MCDA applications in the last five years, especially in managing flood events. Most articles focused on the mitigation phase of DMP, while other phases of preparedness, response, and recovery remained understudied. The analytical hierarchy process (AHP) was the most common MCDA technique used, followed by mixed-method techniques and TOPSIS. The article concludes the discussion by identifying a number of opportunities for future research in the use of MCDA for managing water-related disasters. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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