Title :
Identification methods for exponential possibility distributions
Author :
Tanaka, Hideo ; Guo, Peijun
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
This paper proposes three kinds of models for obtaining exponential possibility distributions, namely, the upper approximation model, the lower approximation model and the integrated model to reflect the different viewpoints. An example of the possibility distribution in a portfolio selection problem is shown
Keywords :
approximation theory; fuzzy set theory; identification; linear programming; possibility theory; probability; statistical analysis; exponential possibility distributions; identification; linear programming; lower approximation model; portfolio selection problem; principal component analysis; upper approximation model; Data analysis; Fuzzy sets; Industrial engineering; Portfolios; Possibility theory; Probability distribution; Random variables; Rough sets; Statistical analysis; Statistical distributions;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.622795
