Fuzzy regression analysis by entropy

Chiang Kao, Pei Huang Lin

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

To construct a regression model for fuzzy numbers, this paper decomposes a fuzzy number into two parts: the position and fuzziness. The former is represented by the elements with membership value 1 and the latter by the entropy of the fuzzy number, both have crisp values. The conventional regression analysis is applied to find the relationship between the position (and entropy) of the fuzzy response variable and that of the fuzzy explanatory variables. Given a set of fuzzy explanatory variables, the position and entropy of the estimated fuzzy responses are calculated from the regression model. Via the one-to-one correspondence between a fuzzy number and its entropy, the estimated fuzzy response is obtained.

原文English
主出版物標題2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
編輯R.R. Yager, V.S. Sgurev, V.S. Jotsov, P.D. Koprinkova-Hristova
頁面231-236
頁數6
出版狀態Published - 2004 十二月 1
事件2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings - Varna, Bulgaria
持續時間: 2004 六月 222004 六月 24

出版系列

名字2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
1

Other

Other2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
國家/地區Bulgaria
城市Varna
期間04-06-2204-06-24

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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