Some methods to model fuzzy systems for inference purposes
نویسندگان
چکیده
We present different techniques of fuzzy rule generation using the information we can obtain from the fuzzy clustering of a set of data which describe the behavior of a given system. The methods all try to obtain a first model of the consisted system that is good enough to serve as a first approximation for inference purposes. Thus, it is important that the methods should be as simple as possible but with great approximate power. © 1997 Elsevier Science Inc.
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ورودعنوان ژورنال:
- Int. J. Approx. Reasoning
دوره 16 شماره
صفحات -
تاریخ انتشار 1997