Describing fuzzy sets using a new concept: fuzzify functor

Ke-xin Wei, Zhao-xia Wang, Quan Wang

Optoelectronics Letters ›› 2009, Vol. 5 ›› Issue (1) : 69-72.

Optoelectronics Letters ›› 2009, Vol. 5 ›› Issue (1) : 69-72. DOI: 10.1007/s11801-009-8132-9
Optoelectronics Letters

Describing fuzzy sets using a new concept: fuzzify functor

Author information +
History +

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.

Keywords

Membership Function / Fuzzy Number / Amplitude Distribution / Fuzzy Logic System / Crisp Number

Cite this article

Download citation ▾
Ke-xin Wei, Zhao-xia Wang, Quan Wang. Describing fuzzy sets using a new concept: fuzzify functor. Optoelectronics Letters, 2009, 5(1): 69‒72 https://doi.org/10.1007/s11801-009-8132-9

References

[1]
ZadehL. A.. Information and Control, 1965, 8: 338
CrossRef Google scholar
[2]
zadehL. A.. Information Science, 1975, 8: 199
CrossRef Google scholar
[3]
MendelJ. M.. IEEE Computational Intelligence Magazine, 2007, 2: 29
CrossRef Google scholar
[4]
MendelJ. M.. IEEE connections, 2003, 1: 10
[5]
MasulliF., MitraS., PasiG.. Applications of fuzzy sets theory: 7th International Workshop on Fuzzy Logic and Application, WILF 2007, Camogli, Italy, 2007, Berlin, Springer
[6]
MendelJ.M.. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, 2001, Upper Saddle River, NJ, Prentice-Hall
[7]
PedryczW., GomideF.. An introduction to fuzzy set: analysis and design, Imprint Cambridge, 1998, Mass., MIT Press, London
[8]
ZX Wang, YG Sun, ZY Wang, J Qin, XW Sun, HY Shen, Optoelectronics Letters, 2 (2006), 0373.
[9]
GR Chen, T.T. Pham, Introduction to fuzzy systems, Boca Raton, FL, Chapman & Hall/CRC, c2006.
[10]
KarnikN. N., MendelJ. M., LiangQ.. IEEE Transactions On Fuzzy Systems, 1999, 7: 643
CrossRef Google scholar

Accesses

Citations

Detail

Sections
Recommended

/