Describing fuzzy sets using a new concept: fuzzify functor |
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Authors: | Ke-xin Wei Zhao-xia Wang and Quan Wang |
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Affiliation: | (1) Tianjin Key Laboratory of Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin, 300191, China;(2) Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 119260, Singapore |
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Abstract: | This paper proposed a fuzzify functor as an extension of the concept of fuzzy sets. The fuzzify functor and the first-order
operated fuzzy set are defined. From the theory analysis, it can be observed that when the fuzzify functor acts on a simple
crisp set, we get the first order fuzzy set or type-1 fuzzy set. By operating the fuzzify functor on fuzzy sets, we get the
higher order fuzzy sets or higher type fuzzy sets and their membership functions. Using the fuzzify functor we can exactly
describe the type-1 fuzzy sets, type-2 fuzzy sets and higher type or higher order fuzzy sets. The fuzzify functor makes type-1,
type-2 and any fuzzy sets much more accessible to all readers.
This work has been supported in part by the Project of Tianjin Key Laboratory of Control Theory & Applications in Complicated
Systems and the Key Project of Tianjin Natural Science Foundation (Grant No. 06YFJMJC01) |
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