Fuzzy Systems Modeling in Environmental and Health Risk Assessment - Hardcover

Über die Autorin bzw. den Autor

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.

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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.