Fuzzy Sets and Triangular Norms
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 22 June 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 700
Categories
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.
MoreLong 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.
- Discusses decision aid framework for enhancing customer segmentation and marketing strategies.
- Presents a decision model framework for assessing the performance of green supply chains.
- Highlights the assessment of renewable energy resources using triangular-norm operations and evaluation of smart mega cities under a Pythagorean fuzzy environment.
- Covers a decision support model for medical diagnosis and treatment planning and a decision-making intelligent feedback system based on fuzzy norm operations.
- Illustrates a decision support model for medical diagnosis and treatment planning and a Fine-Kinney risk assessment methodology based on an extension of fuzzy sets.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including engineering mathematics, industrial engineering, supply chain management, operations research, manufacturing engineering, production engineering, and applied mathematics.
MoreTable of Contents:
Preface
About the Editors
List of Contributors
Chapter 1: Lambert Aggregation Operators For Intuitionistic Fuzzy Multi-Criteria Decision Making
Chapter 2: A Group Decision Aggregation-Based IVIF-MARCOS and Goal Programming Approach for Intelligent Decision-Making in Tourism Marketing
Chapter 3: Sustainable Urban Logistics Evaluation in Smart Cities: A Multi-Criteria Group Decision-Making Approach Using the Hesitant Fuzzy Linguistic ARAS Method
Chapter 4: Choquet Integral-Based q-rof Entropy And Its Application
to Information Technologies
Chapter 5: Hybrid Approach using Interval Type-2 Fuzzy TOPSIS and Unsupervised Machine Learning for Water Security and Water Source Area Challenges
Chapter 6: A Group Decision Making by Hesitant Fuzzy Set: Determination of Criterion Weights in Biomass Power Plant Investment
Chapter 7: Fuzzy Set Theory Applications in Smart Cities and IoT
Chapter 8: Smart Campus Process Automation: Process Prioritization through Triangular Fuzzy AHP
Chapter 9: Dombi t-norm and t-conorm Based Aggregation Operators in an
Interval-Valued Fermatean Fuzzy Framework with Confidence Levels
Chapter 10: Evaluation of Heavy Forest Fire Helicopters Using q-rung Orthopair Fuzzy Sets Based TOPSIS Decision Making Model
Chapter 11: Some Interval-Valued Intuitionistic Fuzzy Confidence Level-Based
Aggregation Operators Using Frank t-norm and t-conorms
More
