Integrating expert knowledge into industrial control structures
Computers in Industry - Special issue: Soft computing in industrial applications
Journal of Biomedical Informatics
Interface optimality in fuzzy inference systems
International Journal of Approximate Reasoning
Bi-monotonic fuzzy sets lead to optimal fuzzy interfaces
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
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Conceptually, a fuzzy system interacting with a numerical environment has three components: a numeric/linguistic interface, a linguistic processing unit, and a linguistic/numeric interface. At these interfaces, membership functions representing linguistic terms play a top role both for the linguistic meaning provided and for the pre/post information processing introduced to the fuzzy system. Considering these issues, a set of membership function properties is postulated. Furthermore, an expert-free interface design methodology able to meet these properties, and based on the concept of optimal interfaces, is proposed. This concept simply states an equivalence between information format (numeric and linguistic), thereby making the methodology appealing from the applicational point of view. An algorithm is developed, and brief notes on selected applications are outlined stressing relevant issues of the proposed methodology