DocumentCode
3021960
Title
Concepts of probabilistic sets
Author
Hirota, K.
Author_Institution
Tokyo Institute of Technology, Tokyo, Japan
fYear
1977
fDate
7-9 Dec. 1977
Firstpage
1361
Lastpage
1366
Abstract
Probabilistic set theory is discussed from a mathematical point of view. It is constructed considering ambiguity or variety of objects and subjectivity or evolution of knowledge of observers, and it includes fuzzy set theory. The background of the idea is first explained and some inconveniences of fuzzy set theory are pointed out. A probabilistic set on a total space is defined by a pointwise measurable function from a parameter space to a characteristic space. The main result is that the family of probabilistic sets constitutes a complete pseudo Boolean algebra. Some new concepts are shown such as probabilistic mappings, moment analysis, and expected cardinal numbers. The possibility of moment analysis is an important result and it cannot be seen in other theories.
Keywords
Extraterrestrial measurements; Fuzzy set theory; Multivalued logic; Quantum mechanics; Set theory; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location
New Orleans, LA, USA
Type
conf
DOI
10.1109/CDC.1977.271516
Filename
4046050
Link To Document