UID:
almahu_9949616728202882
Umfang:
XXXIV, 540 p. 74 illus., 35 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2023.
ISBN:
9783031436369
Serie:
Studies in Fuzziness and Soft Computing, 430
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031436352
Weitere Ausg.:
Printed edition: ISBN 9783031436376
Weitere Ausg.:
Printed edition: ISBN 9783031436383
Sprache:
Englisch
DOI:
10.1007/978-3-031-43636-9
URL:
https://doi.org/10.1007/978-3-031-43636-9
URL:
Volltext
(URL des Erstveröffentlichers)
