Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information
Algorithms and Applications
Springer Nature Switzerland
ISBN 978-3-031-43636-9
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Bibliografische Daten
eBook. PDF
2023
XXXIV, 540 p. 74 illus., 35 illus. in color..
In englischer Sprache
Umfang: 540 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-43636-9
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Studies in Fuzziness and Soft Computing
Produktbeschreibung
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.
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