Multiple Criteria Decision Making with Fuzzy Sets
MS Excel® and Other Software Solutions
Series: Multiple Criteria Decision Making;
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66 563 Ft
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer International Publishing
- Date of Publication 30 June 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783030988746
- Binding Paperback
- See also 9783030988715
- No. of pages207 pages
- Size 235x155 mm
- Weight 343 g
- Language English
- Illustrations XII, 207 p. 1 illus. in color. Illustrations, color 475
Categories
Long description:
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.
MoreTable of Contents:
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.
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