DocumentCode
1945175
Title
Eliciting interval probabilities via interval-valued pair-wise comparisons
Author
Guo, Peijun ; Wang, Yuanbing
Author_Institution
Fac. of Bus. Adm., Yokohama Nat. Univ., Yokohama, Japan
fYear
2010
fDate
15-16 Nov. 2010
Firstpage
102
Lastpage
105
Abstract
In recent years, dealing with uncertainty using interval probabilities, such as combination, marginalization, condition, Bayesian inferences, is receiving considerable attention by researchers. However, how to elicit interval probabilities from subjective judgment is a basic problem for the applications of interval probabilities. In this paper, interval-valued pair-wise comparison of possible outcomes is considered to know which one is more likely to occur. Quadratic programming based model is proposed for estimating interval probabilities. Expectation and decision criteria under interval probabilities are given.
Keywords
decision making; knowledge acquisition; mathematical programming; probability; quadratic programming; uncertainty handling; Bayesian inference; eliciting interval probability; interval valued pairwise comparison; marginalization; quadratic programming; Cognition; Computational modeling; Decision making; Ethics; Quadratic programming; Uncertainty; Interval probability; decision analysis; mathematical programmin;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6791-4
Type
conf
DOI
10.1109/ISKE.2010.5680804
Filename
5680804
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