DocumentCode :
2891813
Title :
Level Creditability of Fuzzy Numbers and its Properties
Author :
Wang, Zhan-jing ; Wang, Shu-tian ; Liu, Li-min
Author_Institution :
Sch. of Math. & Stat., Hebei Univ. of Econ. & Bus., Shijiazhuang
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
1948
Lastpage :
1953
Abstract :
Making fuzzy information locally clarified by level cut-sets is a common method facing with many actual problems such as uncertainty optimization, fuzzy information processing and fuzzy control. Because all the discussions based on level cut-sets depend on its creditability, it has important theoretical and practical significance to establish a method for measuring the creditability of level cut-sets. In this paper, based on the Lebesgue measure of level cut-sets and the membership degree of an element in level cut-sets, we introduce the concept of level creditability of fuzzy numbers, present a necessary and sufficient condition of level creditability being equal to 1 for each lambdaepsi[0,1], and then consider the basic properties (such as continuity, monotonicity etc.) of level creditability and the integral properties of fuzzy numbers. In the last, we constitute the formulas computing the level creditability of triangular fuzzy numbers and trapezoid fuzzy numbers
Keywords :
fuzzy set theory; number theory; Lebesgue measure; creditability level; fuzzy control; fuzzy information processing; fuzzy number; uncertainty optimization; Cybernetics; Fuzzy control; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Industrial control; Industrial economics; Machine learning; Mathematics; Reliability theory; Statistics; Fuzzy number; Level creditability; Level cut-set; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.259123
Filename :
4028384
Link To Document :
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