Fuzzy Optimization Techniques in the Areas of Science and Management

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This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and models and paradigms, such as path planning and routing design for different wireless networks, organization behavior strategies models, and so forth. It also Explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, different decision-making system and management, and so forth Describes applicability of fuzzy optimization techniques in areas of science and management Resolves several issues based on uncertainty using member function Helps map different problems based on mathematical models Includes issues and problems based on linear and nonlinear optimizations Focuses on management science such as manpower management and inventory planning This book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.

Author(s): Santosh Kumar Das, Massimiliano Giacalone
Series: Computational Intelligence in Engineering Problem Solving
Publisher: CRC Press
Year: 2022

Language: English
Pages: 209
City: Boca Raton

Cover
Half Title
Series
Title
Copyright
Contents
About the Editors
List of Contributors
Preface
SECTION 1 Energy Resources Management
Chapter 1 Routing Recovery Protocol for Wireless Sensor Network Based on PSO-ACO and Neural Network
Chapter 2 Fuzzy Inference-Based Optimal Route-Selection Technique in Wireless Ad Hoc Network
Chapter 3 Fuzzy-Based Mathematical Model for Optimizing Network Lifetime in MANET
SECTION 2 Modelling and Aggregation
Chapter 4 Game Theory-Based Conflicting Strategy Management Technique in Wireless Sensor Network
Chapter 5 Cluster-Based Routing Protocol for WSN Using Fusion of Swarm Intelligence and Neural Network
Chapter 6 Nonlinear Fuzzy Optimization Technique for WSN Based on Quadratic Programming
SECTION 3 Data Analysis and Prediction
Chapter 7 A Review Based on Prediction Analysis to Mitigate the Issues of COVID-19
Chapter 8 Data Analysis and Prediction for WSN Based on Linear and Quadratic Optimization Techniques
Chapter 9 Machine Learning-Based Data Analysis for Managing Challenges of COVID-19: A Survey
Chapter 10 Fuzzy Geometric-Based Cost-Optimization Technique for Company
Index