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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information | Algorithms and Applications | Muhammad Akram (u. a.) | Taschenbuch | xxxiv | Englisch | 2024 | Springer | EAN 9783031436383 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031436385 ISBN 13: 9783031436383
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 181,89
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookpresents anextension of fuzzy set theory allowingfor multi-polar information, discussingits impact on the theoretical and practical development of multi-criteria decision making.It reports onset of hybrid models developed by the authors,and show how they canbeadapted, case by case,to the lack of certainty under a variety of criteria.Among them, hybrid models combiningm-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, andm-polar hesitant fuzzy sets and hesitant m-polar fuzzyare presented, together with some significant applications.In turn, outranking decision-making techniques such asm-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,isshowninsome real-world applications. Overall, this book offers a guide on methodologies to deal withthe multi-polarityand 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.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031436385 ISBN 13: 9783031436383
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 181,89
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 576 pp. Englisch.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031436385 ISBN 13: 9783031436383
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 181,89
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookpresents anextension of fuzzy set theory allowingfor multi-polar information, discussingits impact on the theoretical and practical development of multi-criteria decision making.It reports onset of hybrid models developed by the authors,and show how they canbeadapted, case by case,to the lack of certainty under a variety of criteria.Among them, hybrid models combiningm-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, andm-polar hesitant fuzzy sets and hesitant m-polar fuzzyare presented, together with some significant applications.In turn, outranking decision-making techniques such asm-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,isshowninsome real-world applications. Overall, this book offers a guide on methodologies to deal withthe multi-polarityand 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. 576 pp. Englisch.