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Multiple Criteria Decision Making with Fuzzy Sets: MS Excel® and Other Software Solutions de Babek Erdebilli

Multiple Criteria Decision Making with Fuzzy Sets: MS Excel® and Other Software Solutions: Multiple Criteria Decision Making

Editat de Babek Erdebilli, Gerhard-Wilhelm Weber
en Limba Engleză Paperback – 30 iun 2023
Using numerical examples to illustrate their concepts and results, this book examines recently developed fuzzy multi-criteria methods, such as Intuitionistic Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS & DEA-AHP, Intuitionistic VIKOR, Pythagorean WASPAS, Pythagorean ENTROPI, Hesitant CBD, Hesitant MABAC, Triangular EDAS, Triangular PROMETHEE, q-Rung Orthopair COPRAS, and Fuzzy Type – 2 ELECTRE. Each chapter covers practical applications in addition to fresh developments and results.
Given its structure and scope, the book can be used as a textbook in graduate courses on operations research and industrial engineering. It also offers a valuable resource for scientists working in a range of disciplines that require multi-criteria decision making.
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Specificații

ISBN-13: 9783030988746
ISBN-10: 3030988740
Pagini: 207
Ilustrații: XII, 207 p. 1 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Multiple Criteria Decision Making

Locul publicării:Cham, Switzerland

Cuprins

Data-Driven Multi-Criteria Group Decision Making Under Heterogeneous Information.- Supplier Evaluation with Q-Rung Orthopair Fuzzy-Based COPRAS Method.- An Integrated Intuitionistic Fuzzy MCDM Model: Its Application to RIS.- Prioritization of Automotive Dealers According to Environmental Sustainability Criteria Using Fuzzy EDAS Method.- Ranking of the Bottled Water Brands Using Interval Type-2 Fuzzy ELECTRE Method.- Interval-Valued Pythagorean Fuzzy Entropy Weight Method and Its Application to Supplier Selection.- Hospital Performance Evaluation in COVID-19 Pandemic by Using Hesitant Fuzzy MABAC.- A Multiple Criteria Ranking Method Based on Outranking Relations: An Extension for Prospect Theory.- Development of a Cutting Insert Selection Model Using the Hesitant Fuzzy TOPSIS.-Comparing SMEs According to Industry 4.0 Adaptations for Mitigating the Bullwhip Effect.- Evaluating Industry 4.0 Barriers by Intuitionistic Fuzzy VIKOR Method.- Evaluating Industry 4.0 Barriers by Intuitionistic Fuzzy VIKOR Method.- Stationary Characteristics for Renewal-Reward Process with Generalized Reflecting Barrier and Fuzzy Demands.

Notă biografică

Dr. Babek Erdebilli (B.D. Rouyendegh) is an Associate Professor at the Industrial Engineering Department, Ankara Yıldırım Beyazıt University (AYBU), Turkey. His work has been published in high-impact journals such as the International Journal of Production Research, Journal of Testing and Evaluation, and Annals of Operations Research. He is the Editor-in-Chief of the Journal of Turkish Operations Management and an Academic Editor at Applied Computational Intelligence and Soft Computing. His main teaching and research interests include performance measurement, fuzzy sets, linear programming, and multi-criteria decision making. He was awarded a grant by the Scientific and Technological Research Council of Turkey (TÜBİTAK) and served as a Research Fellow at the University of Toronto, Canada (2011-2012) and postdoc at Auburn University, USA (2015-2016), respectively. He is a member of INFORMS and MCDM.
Dr. Gerhard-Wilhelm Weber is a Professor and the Chair of Marketing and Economic Engineering at the Faculty of Engineering Management, Poznan University of Technology, Poland. His research focuses on operations research, financial mathematics, optimization and control, the neuro- and bio-sciences, data mining, education and development. He is affiliated with the Association of European OR Societies (EURO), where he serves as the Advisor to EURO Conferences and International Federation of OR Societies (IFORS).
 

Textul de pe ultima copertă

Using numerical examples to illustrate their concepts and results, this book examines recently developed fuzzy multi-criteria methods, such as Intuitionistic Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS & DEA-AHP, Intuitionistic VIKOR, Pythagorean WASPAS, Pythagorean ENTROPI, Hesitant CBD, Hesitant MABAC, Triangular EDAS, Triangular PROMETHEE, q-Rung Orthopair COPRAS, and Fuzzy Type – 2 ELECTRE. Each chapter covers practical applications in addition to fresh developments and results. Given its structure and scope, the book can be used as a textbook in graduate courses on operations research and industrial engineering. It also offers a valuable resource for scientists working in a range of disciplines that require multi-criteria decision making.

Caracteristici

Combines theoretical and applied viewpoints Provides new suggestions and directions for further research Describes real-life applications of fuzzy set methods