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220701 ||| eng |
| 020 |
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|a 9783030988722
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| 100 |
1 |
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|a Erdebilli, Babek
|e [editor]
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| 245 |
0 |
0 |
|a Multiple Criteria Decision Making with Fuzzy Sets
|h Elektronische Ressource
|b MS Excel® and Other Software Solutions
|c edited by Babek Erdebilli, Gerhard-Wilhelm Weber
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XII, 207 p. 1 illus. in color
|b online resource
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| 505 |
0 |
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|a 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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| 653 |
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|a Operations Management
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| 653 |
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|a Operations research
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| 653 |
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|a Optimization
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| 653 |
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|a Production management
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| 653 |
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|a Mathematics / Data processing
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| 653 |
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|a Computational Science and Engineering
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Operations Research and Decision Theory
|
| 700 |
1 |
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|a Weber, Gerhard-Wilhelm
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a Multiple Criteria Decision Making
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| 028 |
5 |
0 |
|a 10.1007/978-3-030-98872-2
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-98872-2?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 658.403
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| 520 |
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|a 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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