Fuzzy Systems Modeling in Environmental and Health Risk Assessment

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Fuzzy Systems Modeling in Environmental and Health Risk Assessment

Demonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems

In Fuzzy Systems Modeling in Environmental and Health Risk Assessment, a team of distinguished researchers delivers an up-to-date collection of the most successful and innovative attempts to apply fuzzy logic to problems involving environmental risk assessment, healthcare decision-making, the management of water distribution networks, and the optimization of water treatment and waste management systems.

By explaining both the theoretical and practical aspects of using fuzzy systems modeling methods to solve complex problems, analyze risks and optimize system performance, this handy guide maintains a strongly application-oriented perspective throughout, offering readers a practical treatment of a cutting-edge subject.

Readers will also find:

  • Comprehensive explorations of the practical applications of fuzzy systems modeling in environmental science
  • Practical advice on environmental quality assessments and human health risk analyses
  • In-depth case studies involving air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, and more

Perfect for environmental engineers and scientists, Fuzzy Systems Modeling in Environmental and Health Risk Assessment will also benefit policy makers, computer scientists, mathematicians, and researchers and practitioners interested in applying soft computing theories to environmental problems.

Author(s): Ashok Deshpande, Rehan Sadiq, Boris Faybishenko
Series: Water Resources Monograph
Publisher: Wiley
Year: 2023

Language: English
Pages: 331
City: Hoboken

Fuzzy Systems Modeling in Environmental and Health Risk Assessment
Contents
List of Contributors
Foreword
Preface
Introduction
Part I Theoretical Considerations
1 Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries
Part II Fuzzy Logic for Environmental Risk Assessment
2 Fuzzy-based Integrated Risk Assessment of Methylmercury in Lake Phewa, Nepal
3 A Fuzzy Approach to Analyze Data Uncertainty in the Life Cycle Assessment of a Drinking Water System: A Case Study of the City of Penticton (CA)
4 Environmental Quality Assessment Using Fuzzy Logic
5 Assessing Spatiotemporal Water Quality Variations in Polluted Rivers with Uncertain Flow Variations: An Application of Triangular Type-2 Fuzzy Sets
6 Optimal Ranking of Air Quality Monitoring Stations and Thermal Power Plants in a Fuzzy Environment
Part III Fuzzy Logic Application in Healthcare Decision-making
7 Evaluation of Health Effects Due to Environmental Pollution Based on Belief and Possibility
8 Respiratory Disease Risk Assessment Among Solid Waste Workers Using a Fuzzy Rule Based System Approach
9 Risk Analysis for Indoor Swimming Pools: A Fuzzy-based Approach
Part IV Fuzzy Logic Applied to the Management of Water Distribution Networks
10 Fuzzy Parameters in the Analysis of Water Distribution Networks
11 Selection of Wastewater Treatment for Small Canadian Communities: An Integrated Fuzzy AHP and Grey Relational Analysis Approach
12 Fuzzy Logic Applications for Water Pipeline Risk Analysis
13 Fuzzy Logic Applications for Water Pipeline Performance Analysis
Part V Using Fuzzy Logic for the Optimization of Water Treatment and Waste Management
14 Developing a Fuzzy-based Model for Regional Waste Management
15 Development of a Fuzzy-based Risk Assessment Model for Process Engineering
16 Application of Fuzzy Theory to Investigate the Effect of Innovation Power in the Emergence of an Advanced Reusable Packaging System
Index
EULA