Fuzzy Systems Modeling in Environmental and Health Risk Assessment
Description
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 hydrogeology and 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, hydrogeologists and geologists, Fuzzy Systems Modeling in Environmental and Health Risk Assessment will also benefit policy makers, mathematicians, theoretical hydrologists, and researchers and practitioners interested in applying soft computing theories to environmental problems.
<b>Demonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems</b>
In <i>Fuzzy Systems Modeling in Environmental and Health Risk Assessment</i>, 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:
<ul><li>Comprehensive explorations of the practical applications of fuzzy systems modeling in hydrogeology and environmental science</li><li>Practical advice on environmental quality assessments and human health risk analyses</li><li>In-depth case studies involving air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, and more</li></ul>Perfect for environmental engineers and scientists, hydrogeologists and geologists, <i>Fuzzy Systems Modeling in Environmental and Health Risk Assessment</i> will also benefit policy makers, mathematicians, theoretical hydrologists, and researchers and practitioners interested in applying soft computing theories to environmental problems.
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Person
Rehan Sadiq is Professor and Associate Dean of the Faculty of Applied Science in the School of Engineering at the University of British Columbia, Kelowna Center in Canada.
Ashok Deshpande (deceased) was a Professor in the College of Engineering, Pune (COEP), India, as well as Chair, Guest Faculty, and Scientist at the Berkeley Initiative in Soft Computing (BISC)-Special Interest Group (SIG)-Environment Management Systems (EMS) at the University of California, Berkeley.
<b>Boris Faybishenko</b> is a Staff Scientist in the Earth Sciences Division at the Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area in California, USA.
<b>Rehan Sadiq</b> is Professor and Associate Dean of the Faculty of Applied Science in the School of Engineering at the University of British Columbia, Kelowna Center in Canada.
<b>Ashok Deshpande (deceased)</b> was a Professor in the College of Engineering, Pune (COEP), India, as well as Chair, Guest Faculty, and Scientist at the Berkeley Initiative in Soft Computing (BISC)-Special Interest Group (SIG)-Environment Management Systems (EMS) at the University of California, Berkeley.
Content
Introduction
<b>Part I: Theoretical Considerations</b>
1. Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries
<b>Part II: Water and Air Risk Assessment </b>
2. Fuzzy-Based Integrated Risk Assessment of Methyl Mercury 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 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
<b>Part III: Fuzzy Logic Application in Healthcare Decision-making </b>
7. Health Effects Due to Environmental Pollution Based on Belief and Possibility
8. Respiratory Disease Risk Assessment Among Solid Waste Workers Using Fuzzy Rule-Based System Approach
9. Risk Analysis for Indoor Swimming Pools: A Fuzzy-Based Approach
<b>Part IV: Fuzzy Logic Applied for Management of Water Distribution Networks </b>
10. Fuzzy Parameters in 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
<b>Part V: Using fuzzy logic for optimization of water treatment and waste management </b>
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 Advanced Reusable Packaging System