Fuzzy Sets and Triangular Norms by Ünver, Mehmet; Özçelik, Gökhan;

Aggregation in Decision-Aided Intelligent Systems

Series: Intelligent Data-Driven Systems and Artificial Intelligence;

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Product details:

Edition number 1
Publisher CRC Press
Date of Publication 17 July 2026

ISBN 9781032867670
Binding Hardback
No. of pages320 pages
Size 234x156 mm
Language English
Illustrations 45 Illustrations, black & white; 45 Line drawings, black & white; 78 Tables, black & white

Categories

The basics of mathematics and mathematical logic Probability and mathematical statistics Optimization, linear programming, game theory Applied mathematics Mathematics in engineering and natural sciences Engineering in general Electrical engineering and telecommunications, precision engineering Civil and construction engineering Energy industry More books in the field of economy Further readings in the field of technology Product design Discrete mathematics The basics of mathematics and mathematical logic (charity campaign) Probability and mathematical statistics (charity campaign) Optimization, linear programming, game theory (charity campaign) Applied mathematics (charity campaign) Mathematics in engineering and natural sciences (charity campaign) Engineering in general (charity campaign) Electrical engineering and telecommunications, precision engineering (charity campaign) Civil and construction engineering (charity campaign) Energy industry (charity campaign) More books in the field of economy (charity campaign) Further readings in the field of technology (charity campaign) Product design (charity campaign) Discrete mathematics (charity campaign)

Short description:

The book focuses on decision-aided intelligent systems, showing readers how fuzzy sets and t-norms enhance decision-making amidst uncertainty and incomplete information. It further presents a decision support model for medical diagnosis and treatment planning and evaluation of smart mega cities under a Pythagorean fuzzy environment.

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Long description:

This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration into decision-aided intelligent systems. It provides a comprehensive understanding of aggregation operators and their role in data fusion, risk analysis, and expert opinion aggregation.

New aggregation operators, entropy measures, t-norm, and t-conorm structures are developed across multiple fuzzy set extensions to better model uncertainty and hesitation in decision-making.

A wide range of real-world applications, including, tourism planning, smart cities, urban mobility, water security, smart campus automation, energy facility siting, and firefighting helicopter selection, are addressed using advanced multi-criteria decision making methods.

The chapters collectively emphasize sustainable, data-driven, and uncertainty-aware decision support, contributing solutions in areas such as environmental protection, resource optimization, public services, and technological infrastructure.

Innovative techniques, such as Lambert W–based aggregation operators, Choquet integral–based entropy, confidence-level aggregation, and fuzzy–machine learning hybrid models, improve the representation of interaction, ambiguity, and complexity in multi-criteria decision problems.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including mathematics, industrial engineering, supply chain management, operations research, manufacturing engineering, production engineering, and applied mathematics.