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- W4328108199 abstract "Environmental management and risk assessment activities are often based on uncertain observations and numerical simulations. Fuzzy systems modeling has proven to be extremely useful when dealing with environmental data characterized by both high aleatory and epistemic uncertainties and systems in which human judgment, behavior, and emotion play a dominant role. This is due to the fact that fuzzy logic (FL) systems have the capability of manipulating the inherent uncertainties of environmental problems. The main idea of the application of FL is to present all system parameters and variables as a matter of degree of truth or partial belief, which allows decision-makers to produce an acceptable range of outputs in response to incomplete, ambiguous, distorted, or imprecise inputs. This chapter presents an overview of the theories used for practical applications of fuzzy systems modeling methods in solving complex environmental problems with uncertainties. This chapter can serve researchers and practitioners who are interested in soft computing theories and applications for a variety of environmental sciences and engineering problems." @default.
- W4328108199 created "2023-03-22" @default.
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- W4328108199 date "2023-03-17" @default.
- W4328108199 modified "2023-10-02" @default.
- W4328108199 title "Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries" @default.
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- W4328108199 doi "https://doi.org/10.1002/9781119569503.ch1" @default.
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