Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information [electronic resource] : Algorithms and Applications / by Muhammad Akram, Arooj Adeel.

Por: Akram, Muhammad [author.]Colaborador(es): Adeel, Arooj [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Fuzziness and Soft Computing ; 430Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXXIV, 540 p. 74 illus., 35 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031436369Tema(s): Computational intelligence | Operations research | Computational Intelligence | Operations Research and Decision TheoryFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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Acceso multiusuario

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.

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