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.

Fuzzy Systems Modeling in Environmental and Health Risk AssessmentDemonstrates the successful application of fuzzy systems modeling to real-world environmental and health problemsIn 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 morePerfect 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.

List of Contributors ixForeword xiiiPreface xvBoris Faybishenko and Rehan SadiqIntroduction 1Boris Faybishenko, Rehan Sadiq, and Ashok DeshpandePart I Theoretical Considerations 111 Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries 13Jyoti YadavPart II Fuzzy Logic for Environmental Risk Assessment 312 Fuzzy-based Integrated Risk Assessment of Methylmercury in Lake Phewa, Nepal 33Gyan Chhipi-Shrestha, Manjot Kaur, Devna Singh Thapa, Manuel Rodriguez, Shichang Kang, Chhatra Mani Sharma, Kasun Hewage, and Rehan Sadiq3 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) 49Thais Ayres Rebello, Gyan Chhipi-Shrestha, Venkata U.K. Vadapalli, Emmi Matern, Rehan Sadiq, and Kasun Hewage4 Environmental Quality Assessment Using Fuzzy Logic 67Jyoti Yadav and Kedar Rijal5 Assessing Spatiotemporal Water Quality Variations in Polluted Rivers with Uncertain Flow Variations: An Application of Triangular Type-2 Fuzzy Sets 79Husnain Haider, Pushpinder Singh, Majed Alinizzi, Saleem S. AlSaleem, and Rehan Sadiq6 Optimal Ranking of Air Quality Monitoring Stations and Thermal Power Plants in a Fuzzy Environment 95Jyoti Yadav and Kalyani SallaPart III Fuzzy Logic Application in Healthcare Decision-making 1157 Evaluation of Health Effects Due to Environmental Pollution Based on Belief and Possibility 117Jyoti Yadav and Kedar Rijal8 Respiratory Disease Risk Assessment Among Solid Waste Workers Using a Fuzzy Rule Based System Approach 133Namrata Jariwala and R.A. Christian9 Risk Analysis for Indoor Swimming Pools: A Fuzzy-based Approach 147Sana Saleem, Haroon R. Mian, Manjot Kaur, Roberta Dyck, Guangji Hu, Kasun Hewage, and Rehan SadiqPart IV Fuzzy Logic Applied to the Management of Water Distribution Networks 15910 Fuzzy Parameters in the Analysis of Water Distribution Networks 161Rajesh Gupta and Lindell Ormsbee11 Selection of Wastewater Treatment for Small Canadian Communities: An Integrated Fuzzy AHP and Grey Relational Analysis Approach 191Guangji Hu, Haroon R. Mian, Manjot Kaur, James Hager, Kasun Hewage, and Rehan Sadiq12 Fuzzy Logic Applications for Water Pipeline Risk Analysis 207Anmol Vishwakarma and Sunil K. Sinha13 Fuzzy Logic Applications for Water Pipeline Performance Analysis 235Hao Xu and Sunil K. SinhaPart V Using Fuzzy Logic for the Optimization of Water Treatment and Waste Management 25914 Developing a Fuzzy-based Model for Regional Waste Management 261Hirushie Karunathilake, Tharindu Prabatha, Kasun Hewage, and Rehan Sadiq15 Development of a Fuzzy-based Risk Assessment Model for Process Engineering 281Rachid Ouache, Muhammad Nomani Kabir, Husnain Haider, Nurdin Said, Farid Wajdi Akashah, Abdullah Ibrahim, Rajeev Ruparathna, Kasun Hewage, and Rehan Sadiq16 Application of Fuzzy Theory to Investigate the Effect of Innovation Power in the Emergence of an Advanced Reusable Packaging System 299Péter Böröcz, Adrienn Buruzs, Ádám Bukovics, Péter Földesi, and László T. KóczyIndex 309