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Multiple criteria decision making me...

Akram, Muhammad.

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Multiple criteria decision making methods with multi-polar fuzzy information = algorithms and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multiple criteria decision making methods with multi-polar fuzzy information/ by Muhammad Akram, Arooj Adeel.
Reminder of title:	algorithms and applications /
Author:	Akram, Muhammad.
other author:	Adeel, Arooj.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xxxiv, 540 p. :illustrations (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Fuzzy sets. -
Online resource:	https://doi.org/10.1007/978-3-031-43636-9
ISBN:	9783031436369

Multiple criteria decision making methods with multi-polar fuzzy information = algorithms and applications /
Akram, Muhammad.

Multiple criteria decision making methods with multi-polar fuzzy informationalgorithms and applications /[electronic resource] :by Muhammad Akram, Arooj Adeel. - Cham :Springer Nature Switzerland :2023. - xxxiv, 540 p. :illustrations (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v. 4301860-0808 ;. - Studies in fuzziness and soft computing ;v. 430..

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.

ISBN: 9783031436369

Standard No.: 10.1007/978-3-031-43636-9doiSubjects--Topical Terms:

562997
Fuzzy sets.

LC Class. No.: QA248.5

Dewey Class. No.: 511.3223

Multiple criteria decision making methods with multi-polar fuzzy information = algorithms and applications /
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245 1 0 $a Multiple criteria decision making methods with multi-polar fuzzy information $h [electronic resource] : $b algorithms and applications / $c by Muhammad Akram, Arooj Adeel.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xxxiv, 540 p. : $b illustrations (some col.), digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1860-0808 ; $v v. 430
505 0 $a 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.
520 $a 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.
650 0 $a Fuzzy sets. $3 562997
650 0 $a Multiple criteria decision making. $3 564005
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Operations Research and Decision Theory. $3 3591727
700 1 $a Adeel, Arooj. $3 3669184
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)