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Multiple criteria decision making with fuzzy sets: MS Excel® and other software solutions

Contributor(s): Material type: TextTextPublication details: Springer Cham 2022Description: xii, 207 pISBN:
  • 9783030988746
Subject(s): DDC classification:
  • 658.403 ERD
Summary: 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. (https://link.springer.com/book/10.1007/978-3-030-98872-2#about-this-book)
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Book Book Bodh Gaya General Stacks IT&DS 658.403 ERD (Browse shelf(Opens below)) 1 Available IIMG-005529
Total holds: 0

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. (https://link.springer.com/book/10.1007/978-3-030-98872-2#about-this-book)

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