Title :
Information fusion based on exponential possibility distributions
Author :
Guo, Peijun ; Tanaka, Hideo
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
Information fusion models are proposed to combine multi-source information which is represented by a set of exponential possibility distributions. The consistency index is defined to reflect the inherent harmony degree between a pair of possibility distributions. As an application, the portfolio selection problem based on multiple experts is considered.
Keywords :
exponential distribution; fuzzy set theory; investment; knowledge representation; possibility theory; uncertainty handling; consistency index; exponential possibility distributions; information fusion; inherent harmony degree; multi-source information; multiple experts; portfolio selection problem; Accelerated aging; Application software; Globalization; Industrial engineering; Markov random fields; Portfolios; Possibility theory; Probability distribution; Sensor fusion; Uncertainty;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793054
