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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
         
        
            Conference_Location : 
Hangzhou
         
        
            Print_ISBN : 
978-1-4244-6791-4
         
        
        
            DOI : 
10.1109/ISKE.2010.5680804