Titlebook: Expert System Applications; Leonard Bolc,Michael J. Coombs Book 1988 Springer-Verlag Berlin Heidelberg 1988 control.expert system.knowledg

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节约

DAFT

aic description (and handled well at some level in numeric terms). A second prominent issue is that of representing control knowledge in a manner which is both explicit, and thus available for inspection, and compatible with the semantics of the problem domain.978-3-642-83316-8978-3-642-83314-4

Genistein

ALLEY

A Quantitative Approach to Approximate Reasoning in Rule-based Expert Systems,opositions. Then, in the framework of possibility theory the representation of imprecise or fuzzy “if ..., then ...” rules and their processing by means of a generalized modus ponens are studied in detail. The particular case of uncertain rules is addressed in the same setting, and some default reas

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Thomas Heidenreich,Andrea Chmitorze time, we need to ensure that the rules are applied in the correct sequence in real problem solving situations..In this paper, we will examine some of the control mechanisms used in real rule-based expert systems. We will identify a set of requirements for a control scheme which facilitates the rep

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Gesundheitsorientierte Führungskompetenzopositions. Then, in the framework of possibility theory the representation of imprecise or fuzzy “if ..., then ...” rules and their processing by means of a generalized modus ponens are studied in detail. The particular case of uncertain rules is addressed in the same setting, and some default reas

薄荷醇

ARK

Cambridge Imperial and Post-Colonial Studieshe next sub-section. We will use the normal tensor notation for the description of COSSERAT- continua, whereas Professor LIPPMANN used unit base vectors. The difference will be pointed out at the end of sect. 4. 2.