[1]LI Zhong,LIU Yan.Single rule reasoning mapping for the two dimensional normal cloud model[J].CAAI Transactions on Intelligent Systems,2010,5(5):464-470.[doi:10.3969/j.issn.1673-4785.2010.05.015]
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Single rule reasoning mapping for the two dimensional normal cloud model

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 5 Page number: 464-470 Column: 学术论文—人工智能基础 Public date: 2010-10-25
Title:
Single rule reasoning mapping for the two dimensional normal cloud model
Author(s):
LI Zhong1;  LIU Yan2
1.Institute of Electronic and Electrical Engineering, Changzhou College of Information Technology, Changzhou 213164,China;?2.College of Optoelectronic Engineering, Nanjing University of Posts & Telecommunication, Nangjing 210003, China
Keywords:
cloud model;  rule reasoning;  mapping
CLC:
TP18; TP273
DOI:
10.3969/j.issn.1673-4785.2010.05.015
Abstract:
Due to the fact that the two-dimensional normal cloud model is used for conversion from the quantitative input of data to the qualitative rules of reasoning, and then to the quantitative output of data, the mapping of the region from the input to the output is very uncertain. By constructing the normal distribution random number with as the parameter, in the case of the input cloud model having the same entropy and hyper entropy as the output cloud model, some conclusions of the single rule of reasoning mapping for the two-dimensional normal cloud model were summed up. It was also pointed out that the mapping region is a divergent region, and the size of the area is not only related to the cloud model parameter of the expected value, but also to the parameters of the entropy and hyper entropy. However, the maximum dispersion coefficient is not related to the parameter of the expected value. The conclusions can serve as a two-dimensional normal cloud model for the purpose of mapping more rules.
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