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Multiple criteria decision making wi...
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Erdebilli, Babek.
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Multiple criteria decision making with fuzzy sets = MS Excel and other software solutions /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Multiple criteria decision making with fuzzy sets/ edited by Babek Erdebilli, Gerhard-Wilhelm Weber.
Reminder of title:
MS Excel and other software solutions /
other author:
Erdebilli, Babek.
Published:
Cham :Springer International Publishing : : 2022.,
Description:
xii, 207 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Multiple criteria decision making. -
Online resource:
https://doi.org/10.1007/978-3-030-98872-2
ISBN:
9783030988722
Multiple criteria decision making with fuzzy sets = MS Excel and other software solutions /
Multiple criteria decision making with fuzzy sets
MS Excel and other software solutions /[electronic resource] :edited by Babek Erdebilli, Gerhard-Wilhelm Weber. - Cham :Springer International Publishing :2022. - xii, 207 p. :ill., digital ;24 cm. - Multiple criteria decision making,2366-0031. - Multiple criteria decision making..
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.
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.
ISBN: 9783030988722
Standard No.: 10.1007/978-3-030-98872-2doiSubjects--Topical Terms:
564005
Multiple criteria decision making.
LC Class. No.: HD30.23 / .M85 2022
Dewey Class. No.: 658.403
Multiple criteria decision making with fuzzy sets = MS Excel and other software solutions /
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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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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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Business and Management (SpringerNature-41169)
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EB HD30.23 .M85 2022
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