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Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets

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Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 430))

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Abstract

In this chapter, the theory of ELECTRE methods is borrowed to construct two eminent and highly practical decision making approaches for multi-polar ambiguous information. The structure and potential of multi-polar (m–polar) fuzzy sets suit well to delineate the multi-polar ambiguous information. Therefore, this chapter keenly delivers the procedures of the m–polar fuzzy ELECTRE I method and m–polar fuzzy ELECTRE II method by deeply implementing the outranking principle. Although, the previous chapter thoroughly elaborates the methodology of m–polar fuzzy ELECTRE I approach that competently incorporates the multi-polar inexact data for all multi-criteria decision making scenarios where the decision has to be made by a single expert.

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Authors and Affiliations

  1. Department of Mathematics, University of the Punjab, Quaid-e-Azam Campus (New Campus), Lahore, Pakistan

    Muhammad Akram

  2. Department of Mathematics, Division of Science and Technology, University of Education (Bank Road Campus), Lahore, Pakistan

    Arooj Adeel

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  1. Muhammad Akram
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  2. Arooj Adeel
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Correspondence to Muhammad Akram .

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Akram, M., Adeel, A. (2023). Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets. In: Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information. Studies in Fuzziness and Soft Computing, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-031-43636-9_4

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