03563nam 22005535 450 991076751680332120251113200341.03-031-43636-910.1007/978-3-031-43636-9(MiAaPQ)EBC30985610(Au-PeEL)EBL30985610(OCoLC)1412623214(CKB)29250255800041(DE-He213)978-3-031-43636-9(EXLCZ)992925025580004120231203d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMultiple Criteria Decision Making Methods with Multi-polar Fuzzy Information Algorithms and Applications /by Muhammad Akram, Arooj Adeel1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (564 pages)Studies in Fuzziness and Soft Computing,1860-0808 ;430Print version: Akram, Muhammad Multiple Criteria Decision Making Methods with Multi-Polar Fuzzy Information Cham : Springer,c2024 9783031436352 Includes bibliographical references and index.1. Hybrid Multi-polar Fuzzy Models -- 2. TOPSIS and ELECTRE-I Methods under Multi-polar Fuzzy Linguistic Sets -- 3. Introducing Hesitancy: TOPSIS and ELECTRE-I Models -- 4. Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets -- 5. Enhanced ELECTRE III Method with Multi-polar Fuzzy Sets.This book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications. In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications. Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making.Studies in Fuzziness and Soft Computing,1860-0808 ;430Computational intelligenceOperations researchComputational IntelligenceOperations Research and Decision TheoryComputational intelligence.Operations research.Computational Intelligence.Operations Research and Decision Theory.511.322Akram Muhammad1980-1460665Adeel AroojMiAaPQMiAaPQMiAaPQBOOK9910767516803321Multiple Criteria Decision Making Methods with Multi-Polar Fuzzy Information3660554UNINA