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Environmental management and risk assessment activities are often based on limited, imprecise or uncertain observations and numerical simulations. Since the 1960s, fuzzy systems modeling has been applied successfully in many scientific and technological fields, and has proven to be extremely useful when dealing with environmental problems. The main idea of the application of fuzzy logic is presentation of all systems parameters and variables as a matter of degree or partial belief, which will, nevertheless, allow one to produce acceptable, but definite, outputs in response to incomplete, ambiguous, distorted, or imprecise inputs.A Fuzzy Systems Modeling in Environmental and Health Risk Assessment presents a compendium of the theoretical and practical aspects of using fuzzy systems modeling methods about solving environmental problems and analyzing health risks.
Volume highlights include:
Environmental quality assessment and human health risk analysis
Solving environmental problems related to air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, hydrology, etc.A
Practical applications of fuzzy systems modeling in hydrogeology and environmental science
Fuzzy Systems Modeling in Environmental and Health Risk Assessment is an invaluable resource for environmental engineers, environmental scientists, hydrogeologists, mathematical geologists, numerical modelers, geohealth and for researchers and practitioners interested inA application of soft computing theories to solving a variety of environmental problems.A
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Environmental management and risk assessment activities are often based on limited, imprecise or uncertain observations and numerical simulations. Since the 1960s, fuzzy systems modeling has been applied successfully in many scientific and technological fields, and has proven to be extremely useful when dealing with environmental problems. The main idea of the application of fuzzy logic is presentation of all systems parameters and variables as a matter of degree or partial belief, which will, nevertheless, allow one to produce acceptable, but definite, outputs in response to incomplete, ambiguous, distorted, or imprecise inputs.A Fuzzy Systems Modeling in Environmental and Health Risk Assessment presents a compendium of the theoretical and practical aspects of using fuzzy systems modeling methods about solving environmental problems and analyzing health risks.
Volume highlights include:
Environmental quality assessment and human health risk analysis
Solving environmental problems related to air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, hydrology, etc.A
Practical applications of fuzzy systems modeling in hydrogeology and environmental science
Fuzzy Systems Modeling in Environmental and Health Risk Assessment is an invaluable resource for environmental engineers, environmental scientists, hydrogeologists, mathematical geologists, numerical modelers, geohealth and for researchers and practitioners interested inA application of soft computing theories to solving a variety of environmental problems.A