Four Models to Calculate a Fuzzy Probability Distribution with a Small Sample

The need to cope with complicated natural disaster system calls for a sophisticated way of analyzing it with the help of fuzzy methods. Therefore, four models are suggested succeedingly to represent a fuzzy probability distribution with a small sample. In this paper, we inspect the four models in detail and evaluate their performance on an emulation test.

[1]  Claudio Moraga,et al.  A Fuzzy Risk Model and Its Matrix Algorithm , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[2]  Zhengxin Chen,et al.  Classifying Credit Card Accounts for Business Intelligence and Decision Making: a Multiple-criteria Quadratic Programming Approach , 2005, Int. J. Inf. Technol. Decis. Mak..

[3]  Huang Chong-fu An application of calculated fuzzy risk , 2002 .

[4]  Soongoo Hong,et al.  Impact Of Data Warehousing On Organizational Performance Of Retailing Firms , 2004, Int. J. Inf. Technol. Decis. Mak..

[5]  Tian Zong,et al.  Improvement on interior-outer-set model for estimating fuzzy probability , 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

[6]  Yong Shi,et al.  Classifications Of Credit Cardholder Behavior By Using Fuzzy Linear Programming , 2004, Int. J. Inf. Technol. Decis. Mak..

[7]  Robert K. Otnes,et al.  Digital time series analysis , 1972 .

[8]  Claudio Moraga,et al.  Learning subjective probabilities from a small data set , 2003, 33rd International Symposium on Multiple-Valued Logic, 2003. Proceedings..

[9]  Yong Shi,et al.  Towards Efficient Fuzzy Information Processing - Using the Principle of Information Diffusion , 2002, Studies in Fuzziness and Soft Computing.

[10]  Claudio Moraga,et al.  Calculation vs. Subjective Assessment with Respect to Fuzzy Probability , 2001, Fuzzy Days.

[11]  Chongfu Huang,et al.  A Demonstration of Reliability of the Interior-outer-set Model* , 2004, Int. J. Gen. Syst..