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• W1990812972 abstract "Abstract Recent cross-fertilization between fuzzy set theory and rule-based expert systems has resulted in successful fuzzy expert systems. A fuzzy expert system is an expert system which incorporates fuzzy sets and/or fuzzy logic into its reasoning process and/or knowledge representation scheme. In this paper, we investigate the issue of employing fuzzy set techniques into inference process itself and its impact on the architecture of rule-based expert systems. In particular, we discuss the use of fuzzy set concepts to achieve flexible inference control of expert systems. An extended model of expert systems is introduced, in which fuzzy techniques are used to deal with conflict resolution through meta-rules. A top level algorithm is provided which supports flexible inference control based on different user environments or user stereotypes. The algorithm is illustrated by two examples. First we use a simple example (a travel agency) to describe in some detail how this algorithm works. In the second example, we use an expert system for orthopedics to explain how the key ideas illustrated in the first example can be applied to real-world problems in the medical domain. In addition, we also provide a comparative study and a taxonomy which categorizes different ways of incorporating fuzzy set theory into expert systems." @default.
• W1990812972 created "2016-06-24" @default.
• W1990812972 creator A5030228433 @default.
• W1990812972 date "1996-04-01" @default.
• W1990812972 modified "2023-09-24" @default.
• W1990812972 title "Using meta-rules for fuzzy inference control" @default.
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• W1990812972 doi "https://doi.org/10.1016/0165-0114(95)00179-4" @default.
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