Fuzzy Systems Modeling in Environmental and Health Risk Assessment

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.

Sommario

List of Contributors ix
 
Foreword xiii
 
Preface xv
Boris Faybishenko and Rehan Sadiq
 
Introduction 1
Boris Faybishenko, Rehan Sadiq, and Ashok Deshpande
 
Part I Theoretical Considerations 11
 
1 Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries 13
Jyoti Yadav
 
Part II Fuzzy Logic for Environmental Risk Assessment 31
 
2 Fuzzy-based Integrated Risk Assessment of Methylmercury in Lake Phewa, Nepal 33
Gyan Chhipi-Shrestha, Manjot Kaur, Devna Singh Thapa, Manuel Rodriguez, Shichang Kang, Chhatra Mani Sharma, Kasun Hewage, and Rehan Sadiq
 
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) 49
Thais Ayres Rebello, Gyan Chhipi-Shrestha, Venkata U.K. Vadapalli, Emmi Matern, Rehan Sadiq, and Kasun Hewage
 
4 Environmental Quality Assessment Using Fuzzy Logic 67
Jyoti Yadav and Kedar Rijal
 
5 Assessing Spatiotemporal Water Quality Variations in Polluted Rivers with Uncertain Flow Variations: An Application of Triangular Type-2 Fuzzy Sets 79
Husnain Haider, Pushpinder Singh, Majed Alinizzi, Saleem S. AlSaleem, and Rehan Sadiq
 
6 Optimal Ranking of Air Quality Monitoring Stations and Thermal Power Plants in a Fuzzy Environment 95
Jyoti Yadav and Kalyani Salla
 
Part III Fuzzy Logic Application in Healthcare Decision-making 115
 
7 Evaluation of Health Effects Due to Environmental Pollution Based on Belief and Possibility 117
Jyoti Yadav and Kedar Rijal
 
8 Respiratory Disease Risk Assessment Among Solid Waste Workers Using a Fuzzy Rule Based System Approach 133
Namrata Jariwala and R.A. Christian
 
9 Risk Analysis for Indoor Swimming Pools: A Fuzzy-based Approach 147
Sana Saleem, Haroon R. Mian, Manjot Kaur, Roberta Dyck, Guangji Hu, Kasun Hewage, and Rehan Sadiq
 
Part IV Fuzzy Logic Applied to the Management of Water Distribution Networks 159
 
10 Fuzzy Parameters in the Analysis of Water Distribution Networks 161
Rajesh Gupta and Lindell Ormsbee
 
11 Selection of Wastewater Treatment for Small Canadian Communities: An Integrated Fuzzy AHP and Grey Relational Analysis Approach 191
Guangji Hu, Haroon R. Mian, Manjot Kaur, James Hager, Kasun Hewage, and Rehan Sadiq
 
12 Fuzzy Logic Applications for Water Pipeline Risk Analysis 207
Anmol Vishwakarma and Sunil K. Sinha
 
13 Fuzzy Logic Applications for Water Pipeline Performance Analysis 235
Hao Xu and Sunil K. Sinha
 
Part V Using Fuzzy Logic for the Optimization of Water Treatment and Waste Management 259
 
14 Developing a Fuzzy-based Model for Regional Waste Management 261
Hirushie Karunathilake, Tharindu Prabatha, Kasun Hewage, and Rehan Sadiq
 
15 Development of a Fuzzy-based Risk Assessment Model for Process Engineering 281
Rachid Ouache, Muhammad Nomani Kabir, Husnain Haider, Nurdin Said, Farid Wajdi Akashah, Abdullah Ibrahim, Rajeev Ruparathna, Kasun Hewage, and Rehan Sadiq
 
16 Application of Fuzzy Theory to Investigate the Effect of Innovation Power in the Emergence of an Advanced Reusable Packaging System 299
Péter Böröcz, Adrienn Buruzs, Ádám Bukovics, Péter Földesi, and László T. Kóczy
 
Index 309

Info autore

Boris Faybishenko is a Staff Scientist in the Energy Geosciences Division, Earth and Environmental Sciences Area, at the Lawrence Berkeley National Laboratory in Berkeley, California, USA. Rehan Sadiq is a Distinguished University Professor and Vice President Academic and Provost at the University of British Columbia (Okanagan Campus), 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, USA.

Riassunto

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.

Dettagli sul prodotto

• Autori: Ashok Deshpande, Ashok Sadiq Deshpande, Faybishenko, Boris Faybishenko, Boris Sadiq Faybishenko, Rehan Sadiq
• Con la collaborazione di: Ashok Deshpande (Editore), Boris Faybishenko (Editore), Faybishenko Boris (Editore), Rehan Sadiq (Editore)
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.03.2023
• EAN: 9781119569473
• ISBN: 978-1-119-56947-3
• Pagine: 336
• Categorie: Scienze naturali, medicina, informatica, tecnica > Geoscienze > Geologia; Scienze sociali, diritto, economia > Economia > Economia aziendale; Umweltmanagement, Hydrologie, Umweltforschung, Geowissenschaften, Environmental Studies, Fuzzy-Systeme, Earth Sciences, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Environmental Management, Policy & Planning, Umweltmanagement, Politik u. -Planung, Fuzzy Systems, Hydrological Sciences