Fuzzy Optimization Techniques in the Areas of Science and Management

This book provides a comprehensive guide to the application of fuzzy logic optimization in science and engineering, covering implementation, models, and paradigms such as path planning and routing design, inventory control management, uncertainty management, and decision-making systems. It is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.

Format: Hardback
Length: 196 pages
Publication date: 17 October 2022
Publisher: Taylor & Francis Ltd

This comprehensive book is a valuable resource for advancing the application of fuzzy logic optimization in various fields of science and engineering. It offers a comprehensive framework that encompasses implementation, models, and paradigms, including path planning and routing design for wireless networks, organizational behavior strategies models, and more. Furthermore, it delves into inventory control management, uncertainty management, loss minimization, game optimization, data analysis and prediction, decision-making systems and management, and many other relevant areas.

By explaining the applicability of fuzzy optimization techniques in both science and management, the book addresses a wide range of challenges and issues related to uncertainty. It provides detailed explanations of member function, which is a powerful tool for resolving uncertainties in optimization problems. Additionally, the book offers insights into mapping different problems based on mathematical models, covering both linear and nonlinear optimizations.

The book specifically focuses on management science, such as manpower management and inventory planning, and provides practical solutions for these complex domains. It is designed to cater to researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks. With its extensive coverage, rigorous analysis, and practical applications, this book is an essential tool for anyone seeking to enhance their understanding and expertise in fuzzy logic optimization and its applications in diverse fields.

Dimension: 229 x 152 (mm)
ISBN-13: 9781032342863