Fuzzy decision analysis : multi attribute decision making approach / Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, Somayeh Razipour GhalehJough.
2023
QA279.6
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Details
Title
Fuzzy decision analysis : multi attribute decision making approach / Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, Somayeh Razipour GhalehJough.
ISBN
9783031447426 (electronic bk.)
3031447425 (electronic bk.)
9783031447419
3031447417
3031447425 (electronic bk.)
9783031447419
3031447417
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xxii, 344 pages) : illustrations (some color).
Other Standard Identifiers
10.1007/978-3-031-44742-6 doi
Call Number
QA279.6
Dewey Decimal Classification
519.5/42
Summary
Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 30, 2023).
Added Author
Allahviranloo, Tofigh, author.
Pedrycz, Witold, 1953- author.
Shahriari, Mohammadreza, author.
Sharafi, Hamid, author.
Razipour GhalehJough, Somayeh, author.
Pedrycz, Witold, 1953- author.
Shahriari, Mohammadreza, author.
Sharafi, Hamid, author.
Razipour GhalehJough, Somayeh, author.
Series
Studies in computational intelligence ; v. 1121. 1860-9503
Available in Other Form
Print version: 9783031447419
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Table of Contents
Foundations of Decision
Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment
The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment
The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.
Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment
The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment
The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.