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.
Produkteigenschaften
- Artikelnummer: 9783031436383
- Medium: Buch
- ISBN: 978-3-031-43638-3
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 04.12.2024
- Sprache(n): Englisch
- Auflage: Erscheinungsjahr 2024
- Serie: Studies in Fuzziness and Soft Computing
- Produktform: Kartoniert
- Gewicht: 861 g
- Seiten: 540
- Format (B x H x T): 155 x 235 x 31 mm
- Ausgabetyp: Kein, Unbekannt