Detecting local inconsistency and incompleteness in fuzzy rule bases (1996) [1 citations — 1 self]
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Abstract:
incompleteness, gradual inconsistency Fuzzy rule bases are built of linguistic, qualitative knowledge. By using fuzzy rules we are able to specify simple models of complex systems. But, we have to pay a price for this simplification. In general, fuzzy knowledge is gradually incomplete and gradually inconsistent. This paper deals with the detection of such partial gaps of knowledge or local contradictions. In order to do so we introduce the notion of ffl--completeness and of ffl--consistency. I Introduction and Goals In general, a fuzzy rule base will neither be totally complete nor absolutely consistent. This is, due to the use of fuzzy predicates with overlapping membership functions there will always be gradual gaps of knowledge as well as local contradictions. With the theories of possibilistic and evidential reasoning [2, 1, 8, 4, 5] there
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