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Fuzzy Decision Analysis: Multi Attribute Decision Making Approach

  • Book
  • © 2023

Overview

  • Introduces multi-attribute decision-making methods in an imprecise environment
  • Surveys and improves different approaches in dealing with MADM
  • Identifies and analyzes applications in industry, management, and health

Part of the book series: Studies in Computational Intelligence (SCI, volume 1121)

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Table of contents (14 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Farhad Hosseinzadeh Lotfi, Hamid Sharafi, Somayeh Razipour GhalehJough

  • Faculty of Engineering & Natural Sciences, Istinye University, Istanbul, Türkiye

    Tofigh Allahviranloo

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

  • Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

    Mohammadreza Shahriari

Bibliographic Information

  • Book Title: Fuzzy Decision Analysis: Multi Attribute Decision Making Approach

  • Authors: Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, Somayeh Razipour GhalehJough

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-44742-6

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-44741-9Published: 24 November 2023

  • Softcover ISBN: 978-3-031-44744-0Due: 26 December 2023

  • eBook ISBN: 978-3-031-44742-6Published: 24 November 2023

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXII, 344

  • Number of Illustrations: 16 b/w illustrations, 16 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory

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