:POOL—A Semantic Model for Approximate Reasoning—is based on the theory of linguistic fuzzy relations (lfr) and linguistic similarity relations (lsr). The proposed model combines the advantages of linguistic representation and numerical computation. Hence, it can facilitate knowledge representation and approximate reasoning for object/concept relation modeling especially in an environment containing imprecision, ambiguity, and/or uncertainty, which is often the case faced by knowledge engineers in building decision support systems.
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Wen-Ran Zhang (1987) studied this question.
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