Resolution of composite fuzzy relation equations based on Archimedean triangular norms |
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Authors: | Giorgos B. Stamou Spyros G. Tzafestas |
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Affiliation: | Intelligent Robotics and Automation Laboratory, Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou 15773, Athens, Greece |
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Abstract: | Lately, the sup-t-norm composition of fuzzy relations has been used instead of the well-known max–min. Thus, there is a need for methods of studying and solving sup-t-norm fuzzy relation equations (t is any t-norm). In this paper, the solution existence problem is first studied and solvability criteria for composite fuzzy relation equations of any t-norm are given. Then, a methodology for solving fuzzy relation equations based on sup-t composition, where t is an Archimedean t-norm, is proposed. This resolution method is simpler and faster than those proposed for covering all the continuous t-norms. The result is important, since, as is shown in the paper, the only continuous t-norm that is not Archimedean is the “minimum”. |
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Keywords: | t-norms Archimedean t-norms Sup-t-norm compositions of fuzzy relations Fuzzy relation equations Fuzzy inference systems |
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