Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework

Afsordegan, Arayeh; Sánchez, Mónica; Agell, Núria; Aguado, Juan Carlos; Gamboa, Gonzalo

doi:10.1080/0952813x.2015.1024489

Cited by 5 publications

(1 citation statement)

References 37 publications

(22 reference statements)

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“…In energy planning, different aspects of environmental assessments have been considered in various studies, and examples include: developing local energy sources to rank energy alternatives (Goumas and Lygerou 2000), evaluating water resources (Dai et al 2010), assessing renewable energy alternatives (Doukas et al 2007;Kahraman et al 2010) and finding optimal locations for energy projects (Aras et al 2004;San Cristóbal 2012;Yeh and Huang 2014;Afsordegan et al 2016). Doukas et al (2007) present a MCDM approach with linguistic variables to assist policy makers in formulating sustainable technologies in a Greek energy system.…”

Section: Related Workmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

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Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

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Section: Related Workmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

Self Cite

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Qualitative Reasoning

Condotta¹,

Ber²,

Ligozat³

et al. 2020

A Guided Tour of Artificial Intelligence Research

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Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method

et al. 2017

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This paper considers the problem of finding suitable sites for wind farms in a region of Catalonia (Spain). The evaluation criteria are structured into a hierarchy that identifies several intermediate sub-goals dealing with different points of view. Therefore, the recent ELECTRE-III-H hierarchical multi-criteria analysis method is proposed as a good solution to help decision-makers. This method establishes an order among the set of possible sites for the wind farms for each subgoal. ELECTRE-III-H aggregates these orders into an overall order using different parameters. The procedure is based on the construction and exploitation of a pairwise outranking relation, following the principles of concordance (i.e. majority rule) and discordance (i.e. respect for the minority opinions). This paper makes two main contributions. First, it contributes to the ELECTRE-III-H method by studying its mathematical properties for the construction of outranking relations. Second, the case study is solved and its results show that we can effectively represent and manage the overall influence of the various criteria on the global result at different levels of the hierarchy. The paper compares different scenarios with strict, normal, and optimistic preference, indifference and veto thresholds. Results show that the best site differs for technical, economic, environmental, and social intermediate criteria. Therefore, the best overall solution changes depending on the preference and veto thresholds fixed at the intermediate level of the hierarchy.

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Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework

Cited by 5 publications

References 37 publications

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Qualitative Reasoning

Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method

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