Measure Inputs to Fuzzy Rules

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Abstract

Our concern is with the determination of the firing level of the antecedent fuzzy set in a fuzzy systems model rule base. We first consider the case where the input information is also expressed in terms of a normal fuzzy set. We provide the requirements needed by any formulation of this operation. We next consider the case when the input information is expressed using a measure. Here we also provide the requirements for any formulation that can be used to determine the firing level of the antecedent fuzzy set when the input information is a measure. We provide some examples of these formulations. Since a probability distribution is a special case of a measure we are able to determine the firing level of fuzzy rules with probabilistic inputs. © Springer International Publishing Switzerland 2014.

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Yager, R. R. (2014). Measure Inputs to Fuzzy Rules. In Communications in Computer and Information Science (Vol. 442 CCIS, pp. 577–587). Springer Verlag. https://doi.org/10.1007/978-3-319-08795-5_59

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