DocumentCode
330349
Title
Mean and variance of alternatives in evidence theory
Author
Langewisch, Andrew ; Choobineh, F. Fred
Author_Institution
Dept. of Ind. & Manage. Syst. Eng., Nebraska Univ., Lincoln, NE, USA
Volume
2
fYear
1998
fDate
11-14 Oct 1998
Firstpage
2052
Abstract
Evidence theory is a powerful tool for modeling ambiguity. Ambiguity is prevalent in the description of most alternatives and it arises from the existence of many-to-many relations between outcomes and probabilities of outcomes. We present procedures for determining bounds for the mean and variance of alternatives under conditions of ambiguity. The mean and variance, for example, can be used for identifying the set of non-dominated alternatives
Keywords
fuzzy set theory; probability; uncertainty handling; ambiguity; evidence theory; fuzzy set theory; many-to-many relations; outcomes; probability; variance; Distribution functions; Engineering management; Fuzzy set theory; Fuzzy sets; Measurement uncertainty; Possibility theory; Probability density function; Statistical analysis; Statistical distributions; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.728200
Filename
728200
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