000 | 01501nam a22002177a 4500 | ||
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005 | 20240206170440.0 | ||
008 | 240206b |||||||| |||| 00| 0 eng d | ||
020 | _a9783030988746 | ||
082 |
_a658.403 _bERD |
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245 |
_aMultiple criteria decision making with fuzzy sets: _bMS Excel® and other software solutions |
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260 |
_bSpringer _aCham _c2022 |
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300 | _axii, 207 p. | ||
365 |
_aEURO _b139.99 |
||
520 | _aUsing 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. (https://link.springer.com/book/10.1007/978-3-030-98872-2#about-this-book) | ||
650 |
_aFuzzy sets _915094 |
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650 |
_aMultiple criteria--Decision making _915095 |
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650 |
_aDecision analysis--Softwares _915096 |
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700 |
_aErdebilli, Babek _915097 |
||
700 |
_aWeber, Gerhard-Wilhelm _915098 |
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942 |
_cBK _2ddc |
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999 |
_c5697 _d5697 |