Titlebook: Advances in Fuzzy Sets, Possibility Theory, and Applications; Paul P. Wang Book 1983 Plenum Press, New York 1983 Ahead.Area.Volume.form.fu

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Fuzzy Production Rules: A Learning Methodology,ntrations ranged from 350–1610 ng g.. They are essentially controlled by physical mixing of polluted fluvial particulates with relatively unpolluted marine particulates, but unaffected by seasonal changes. Dissolved Hg species, on the other hand, show large seasonal variations essentially controlled

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Decision Support with Fuzzy Production Systems,y measurement, the definition of traceability also applies to reference materials. It is extremely helpful to give the traceability (of the origin) of a reference material a separate name, i.e. ‘trackability’. An analysis of the function of values carried by reference materials, shows that they can

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Imprecision in Computer Vision,nsumers demand enhanced safety and hygiene assurance. Transparency, product quality and safety along the dairy supply chain could be reached by the application of specific standards and proper mechanisms such as traceability tools. The role of traceability is critical in supply chain management. Wit

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A Fuzzy, Heuristic, Interactive Approach to the Optimal Network Problem, diffusion in various systems. However, work prior to about the year 1940 is now mainly of historical interest, since ex- periments were often carried out under experimental conditions and with methods of analysis leading to uncertainties in inter- preting the measured diffusion coefficients. Data o

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Automatic Control of Chemical Processes,implementing the linguistic control rules. The method is now being used commercially for the control of cement kilns, using linguistic rules of the type shown in Fig. 1. The rules are a collection of situation-action pairs expressed as IF… THEN… statements and implemented as logical implications. Thus a set of rules, R, is given as