Abstract
The connections between Zadeh fuzzy set and three-valued fuzzy set are established in this paper. The concepts of interval-valued level cut sets on Zadeh fuzzy set are presented and new decomposition theorems and representation theorems of Zadeh fuzzy set are established based on new cut sets. Firstly, four interval-valued level cut sets on Zadeh fuzzy set are defined as three-valued fuzzy sets and it is shown that the interval-valued level cut sets of Zadeh fuzzy set are generalizations of normal cut sets on Zadeh fuzzy set, and have the same properties as those of normal cut sets of Zadeh fuzzy set. Secondly, the new decomposition theorems are established based on these new cut sets. It is pointed out that each kind of interval-valued level cut sets corresponds to two decomposition theorems. Thus eight decomposition theorems are obtained. Finally, the definitions of three-valued inverse order nested sets and three-valued order nested sets are presented with eight representation theorems based on new nested sets.
Similar content being viewed by others
References
Mordeson J N, Bhutani K R, Rosenfeld A (2005) Fuzzy group theory. Springer, New York
Seselja B, Tepavcevic A (2003) Completion of ordered structures by cuts of fuzzy sets: an overview. Fuzzy Sets and Systems 136: 1–19
Lai Y J, Hwang C L (1992) Fuzzy mathematical programming-methods and applications. Springerverlag, Berlin
Xu Z S (2004) Uncertain multiple attribute decision making:methods and applications (in Chinese). Tsinghua Unversity Press, Beijing
Dubois D, Hullermeier E, Prade H (2003) On the representation of fuzzy rules in terms of crisp rules. Information Sciences151: 301–326
Luo C Z, Wang Z P (1990) Representation of compositional relations in fuzzy reasoning. Fuzzy Sets and Systems 36(1): 77–81
Wang X N, Yuan X H, Li H X (2008) The theoretical methods of constructing fuzzy inference relations. Advances in Soft Computing 54, Springer: 157–169
Bertoluzza C, Solci M, Caodieci M L (2001) Measure of a fuzzy set:the α-cut approach in the finite case. Fuzzy Sets and Systems 123: 93–102
Garcia J N, Kutalik Z, Cho K H, et al (2003) Level sets and the minimum volume sets of probability density function. International Journal of Approximate Reasoning 34: 25–47
Pap E, Surla D (2000) Lebesgue measure of α-cuts approach for finding the height of the membership function. Fuzzy Sets and Systems 111: 341–350
Florea M C, Jousselme A L, Crenier D, et al (2008) Approximation techniques for the transformation of the fuzzy sets into random sets. Fuzzy Sets and Systems 159: 270–288
Yuan X H, Li H X, Zhang C (2008) The set-valued mapping based on ample fields. Computers and Mathematics with Applications 56: 1954–1965
Zadeh L A (1965) Fuzzy sets. Information and Control 8(3): 338–353
Yuan X H, Li H X, Lee E S (2009) Three new cut sets of fuzzy sets and new theories of fuzzy sets. Computer and Mathematics with Applications 57(5): 691–701
Yuan X H, Li H X, Sun K B (2011) The cut sets, decomposition theorems and representation theorems on intuitionistic fuzzy sets and interval valued fuzzy sets. Sci China Inf Sci 54(1): 91–110
Yuan X H, Li H X, Lee E S (2010) On the definition of intuitionistic fuzzy subgroups. Computer and Mathematics with Applications 59(9): 3117–3129
Luo C Z (1989) Introduction to fuzzy sets (1) (in Chinese). Beijing Normal University Press, Beijing
Wang G L (1988) L-fuzzy topology space theory (in Chinese). Shanxi Normal University Press, Xian
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Yuan, Xh., Li, Hx. & Sun, Kb. Interval-valued level cut sets of fuzzy set. Fuzzy Inf. Eng. 3, 209–222 (2011). https://doi.org/10.1007/s12543-011-0078-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12543-011-0078-5