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CRC Press Fuzzy TOPSIS: Logic, Approaches, and Case Studies

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Description

Explore the fundamentals of uncertainty theory and decision-making with Fuzzy TOPSIS: Logic, Approaches, and Case Studies. Published by CRC Press, this book serves as the first dedicated resource for the TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) and its various fuzzy versions. This text provides a deep look into why fuzzy logic is a valid approach for handling uncertainty in complex decision-making environments. Readers will follow the development of the TOPSIS method through both classical and fuzzy contexts. To bridge the gap between theory and practice, the book includes related examples and MATLAB codes, making it a practical tool for those studying or working with decision-making algorithms. Whether you are examining the logic of fuzzy sets or applying specific mathematical models to real-world scenarios, this book offers a structured way to understand these advanced computational methods.

Key Features

First book dedicated to the TOPSIS method and its fuzzy versions for specialized study.

Covers the development of TOPSIS in both classical and fuzzy decision-making contexts.

Includes MATLAB codes to assist with practical implementation and computational tasks.

Provides related examples to illustrate complex logic and uncertainty theory applications.

Justifies the use of fuzzy logic as a reliable framework for decision-making processes.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 May 2021
Listed Since
20 November 2020

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