Decision-making on Fuzzy Pieces of Evidence
نویسندگان
چکیده
This paper identifies that a meaningful rule in a fuzzy expert systems (FES) depends to some degree on the number of rule antecedents connected to a rule consequent. The paper presents an alternative for scenarios where a larger number of rule antecedents applies to the same rule consequent. Results of an application of the method in the domain of coronary heart disease risk assessment (CHDRA) indicate the value of the method.
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تاریخ انتشار 1999