Title : 
Interpreting belief functions as probabilities: a new combination rule
         
        
            Author : 
Lin, Tsau Young T Y
         
        
            Author_Institution : 
Dept. of Math. & Comput. Sci., San Jose State Univ., CA, USA
         
        
        
        
        
        
            Abstract : 
Dempster and Shafer introduced the belief function to measure someone´s degree of beliefs or subjective probabilities. In IFSA´99 and NAFIPS´9, we presented two distinct proofs that a belief function is, in fact, an inner probability using the methods of functional analysis and measure theory respectively. In this paper, we continue the study and derive a new Dempster´s rule of combination based on probability theory.
         
        
            Keywords : 
belief networks; functional analysis; fuzzy set theory; inference mechanisms; probability; uncertainty handling; Dempster rule; belief function interpretation; combination rule; functional analysis; measure theory; probability theory; subjective probabilities; Area measurement; Calculus; Computer science; Educational institutions; Functional analysis; Fuzzy set theory; Logic; Mathematics; Possibility theory; Probability distribution;
         
        
        
        
            Conference_Titel : 
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
         
        
            Print_ISBN : 
0-7803-7918-7
         
        
        
            DOI : 
10.1109/NAFIPS.2003.1226782