DocumentCode :
1957401
Title :
Fuzzy sets, rough set and probability
Author :
Young, Tsau ; Lin, T.Y.
Author_Institution :
Dept. of Math. & Comput. Sci., San Jose State Univ., CA, USA
fYear :
2002
fDate :
2002
Firstpage :
302
Lastpage :
305
Abstract :
A rough membership function uses counting probability (ratio of cardinal numbers) to define a membership. An extension, called granular membership function (GMF), generalizes the counting probability to a general set function (GSF), such as probability, possibility, belief function, etc. have been investigated previously. The "set theoretical operations" (STO) of GMF are induced naturally from the operations of GSF. In particular, probabilistic GMF (PGMF) are defined according to the rules of probability; their operations depend not only on the numerical grades but also on the events. This is often expressed as "STO are not truth functional." On the other hand, STO on traditional fuzzy sets are truth functional. This phenomenon led us to conclude the grade of traditional fuzzy sets can not be interpreted as a probability.
Keywords :
fuzzy set theory; probability; rough set theory; belief function; counting probability; fuzzy sets; general set function; granular membership function; possibility; probabilistic granular membership function; rough membership function; rough set; set theoretical operations; Computer science; Fuzzy set theory; Fuzzy sets; Geometry; Mathematics; Set theory; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
Type :
conf
DOI :
10.1109/NAFIPS.2002.1018074
Filename :
1018074
Link To Document :
بازگشت