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Titlebook: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approa; Bilal M. Ayyub,Madan M. Gupta Book 1

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A Fuzzy Morphology: a Logical Approachnning. It is shown that by choosing suitable fuzzy logical operators, all classical duality and other relationships can be preserved. Following a similar line of reasoning, it is possible to assure the idempotence of the fuzzy closing and fuzzy opening.
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Model Learning With Bayesian Networks for Target Recognitionta. Features that carry most discriminant information are selected automatically when the network structure is learned from the training data. The approach has been evaluated on two SAR datasets in feature domains.
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Fuzzy Logic: a Case Study in Performance Measurement of fuzzy logic as a tool to analyze this inherently imprecise data. It also includes a case study implementation in the utility industry in which a corporate information systems unit was attempting to interpret the relationship between client satisfaction and project importance.
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