DocumentCode :
3021557
Title :
Possibility theory vs. probability theory in decision analysis
Author :
Zadeh, L.A.
Author_Institution :
University of California, Berkeley, California
fYear :
1977
fDate :
7-9 Dec. 1977
Firstpage :
1267
Lastpage :
1269
Abstract :
In decision analysis, information analysis, reliability theory, control theory, choice theory, game theory and most other theories in which the concept of uncertainty plays an important role, it has long been -- and continues to be -- an unquestion assumption that uncertainty is a concomitant of randomness and, as such, should be treated by the methods provided by probability theory. However, as we learn more about the issues relating to uncertainty, it is becoming increasingly clear that randomness and uncertainty are by no means coextensive concepts, and that uncertainty has two distinct facets -- fuzziness and randomness -- both of which play basic roles in human reasoning, decision-making and concept formation.
Keywords :
Decision making; Fuzzy sets; Game theory; Humans; Laboratories; Possibility theory; Reliability theory; Uncertainty;
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.1977.271764
Filename :
4046034
Link To Document :
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