{"product_id":"fuzzy-systems-modeling-in-environmental-and-health-risk-assessment-isbn-9781119569473","title":"Fuzzy Systems Modeling in Environmental and Health Risk Assessment","description":"\u003cb\u003eFuzzy Systems  Modeling in Environmental and  Health Risk Assessment\u003c\/b\u003e \u003cp\u003e\u003cb\u003eDemonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eFuzzy Systems Modeling in Environmental and Health Risk Assessment,\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eBy 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. \u003c\/p\u003e\u003cp\u003eReaders will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eComprehensive explorations of the practical applications of fuzzy systems modeling in environmental science\u003c\/li\u003e \u003cli\u003ePractical advice on environmental quality assessments and human health risk analyses\u003c\/li\u003e \u003cli\u003eIn-depth case studies involving air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, and more\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for environmental engineers and scientists, \u003ci\u003eFuzzy Systems Modeling in Environmental and Health Risk Assessment\u003c\/i\u003e will also benefit policy makers, computer scientists, mathematicians, and researchers and practitioners interested in applying soft computing theories to environmental problems. \u003c\/p\u003e\u003cp\u003eList of Contributors ix\u003c\/p\u003e \u003cp\u003eForeword xiii\u003c\/p\u003e \u003cp\u003ePreface xv\u003cbr\u003e \u003ci\u003eBoris Faybishenko and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003cbr\u003e \u003ci\u003eBoris Faybishenko, Rehan Sadiq, and Ashok Deshpande\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Theoretical Considerations 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries 13\u003cbr\u003e \u003ci\u003eJyoti Yadav\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Fuzzy Logic for Environmental Risk Assessment 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2 Fuzzy-based Integrated Risk Assessment of Methylmercury in Lake Phewa, Nepal 33\u003cbr\u003e \u003ci\u003eGyan Chhipi-Shrestha, Manjot Kaur, Devna Singh Thapa, Manuel Rodriguez, Shichang Kang, Chhatra Mani Sharma, Kasun Hewage, and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 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) 49\u003cbr\u003e \u003ci\u003eThais Ayres Rebello, Gyan Chhipi-Shrestha, Venkata U.K. Vadapalli, Emmi Matern, Rehan Sadiq, and Kasun Hewage\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Environmental Quality Assessment Using Fuzzy Logic 67\u003cbr\u003e \u003ci\u003eJyoti Yadav and Kedar Rijal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Assessing Spatiotemporal Water Quality Variations in Polluted Rivers with Uncertain Flow Variations: An Application of Triangular Type-2 Fuzzy Sets 79\u003cbr\u003e\u003ci\u003eHusnain Haider, Pushpinder Singh, Majed Alinizzi, Saleem S. AlSaleem, and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Optimal Ranking of Air Quality Monitoring Stations and Thermal Power Plants in a Fuzzy Environment 95\u003cbr\u003e \u003ci\u003eJyoti Yadav and Kalyani Salla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Fuzzy Logic Application in Healthcare Decision-making 115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7 Evaluation of Health Effects Due to Environmental Pollution Based on Belief and Possibility 117\u003cbr\u003e \u003ci\u003eJyoti Yadav and Kedar Rijal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Respiratory Disease Risk Assessment Among Solid Waste Workers Using a Fuzzy Rule Based System Approach 133\u003cbr\u003e \u003ci\u003eNamrata Jariwala and R.A. Christian\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Risk Analysis for Indoor Swimming Pools: A Fuzzy-based Approach 147\u003cbr\u003e \u003ci\u003eSana Saleem, Haroon R. Mian, Manjot Kaur, Roberta Dyck, Guangji Hu, Kasun Hewage, and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Fuzzy Logic Applied to the Management of Water Distribution Networks 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10 Fuzzy Parameters in the Analysis of Water Distribution Networks 161\u003cbr\u003e \u003ci\u003eRajesh Gupta and Lindell Ormsbee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Selection of Wastewater Treatment for Small Canadian Communities: An Integrated Fuzzy AHP and Grey Relational Analysis Approach 191\u003cbr\u003e\u003ci\u003eGuangji Hu, Haroon R. Mian, Manjot Kaur, James Hager, Kasun Hewage, and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Fuzzy Logic Applications for Water Pipeline Risk Analysis 207\u003cbr\u003e \u003ci\u003eAnmol Vishwakarma and Sunil K. Sinha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Fuzzy Logic Applications for Water Pipeline Performance Analysis 235\u003cbr\u003e \u003ci\u003eHao Xu and Sunil K. Sinha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V Using Fuzzy Logic for the Optimization of Water Treatment and Waste \u003c\/b\u003e\u003cb\u003eManagement 259\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14 Developing a Fuzzy-based Model for Regional Waste Management 261\u003cbr\u003e \u003ci\u003eHirushie Karunathilake, Tharindu Prabatha, Kasun Hewage, and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Development of a Fuzzy-based Risk Assessment Model for Process Engineering 281\u003cbr\u003e \u003ci\u003eRachid Ouache, Muhammad Nomani Kabir, Husnain Haider, Nurdin Said, Farid Wajdi Akashah, Abdullah Ibrahim, Rajeev Ruparathna, Kasun Hewage, and Rehan Sadiq\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Application of Fuzzy Theory to Investigate the Effect of Innovation Power in the Emergence of an Advanced Reusable Packaging System 299\u003cbr\u003e \u003ci\u003ePéter Böröcz, Adrienn Buruzs, Ádám Bukovics, Péter Földesi, and László T. Kóczy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 309\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBoris Faybishenko\u003c\/b\u003e is a Staff Scientist in the Energy Geosciences Division, Earth and Environmental Sciences Area, at the Lawrence Berkeley National Laboratory in Berkeley, California, USA. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRehan Sadiq\u003c\/b\u003e is a Distinguished University Professor and Vice President Academic and Provost at the University of British Columbia (Okanagan Campus), Canada. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAshok Deshpande (deceased)\u003c\/b\u003e 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, USA.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDemonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eFuzzy Systems Modeling in Environmental and Health Risk Assessment,\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eBy 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. \u003c\/p\u003e\u003cp\u003eReaders will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eComprehensive explorations of the practical applications of fuzzy systems modeling in environmental science\u003c\/li\u003e \u003cli\u003ePractical advice on environmental quality assessments and human health risk analyses\u003c\/li\u003e \u003cli\u003eIn-depth case studies involving air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, and more\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for environmental engineers and scientists, \u003ci\u003eFuzzy Systems Modeling in Environmental and Health Risk Assessment\u003c\/i\u003e will also benefit policy makers, computer scientists, mathematicians, and researchers and practitioners interested in applying soft computing theories to environmental problems.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989268840677,"sku":"NP9781119569473","price":195.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119569473.jpg?v=1761783452","url":"https:\/\/k12savings.com\/products\/fuzzy-systems-modeling-in-environmental-and-health-risk-assessment-isbn-9781119569473","provider":"K12savings","version":"1.0","type":"link"}