A Note on "New Estimation Method for the Membership Values in Fuzzy Sets"
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概要
- 論文の詳細を見る
Chen et al. [1], have proposed a new estimation method for the membership values in fuzzy sets. The proposed scheme takes input from empirical/experimental data, which reflect the expert's knowledge on the relative degree of belonging of the members, and then searches for the best fit membership values of the element. Through the estimation of the practical case (Sect. 3 in [1]) the algorithm suggests to normalize the estimated membership values if there is any among them more than one and change some condition to guarantee its positivehess. In this paper, we show how to use the same imposed condition to guarantee that the estimated membership values will be within the unit interval without normalization.
- 社団法人電子情報通信学会の論文
- 2001-05-01
著者
-
Yahagi Takashi
Graduate School Of Advanced Integration Science Chiba University
-
Abdelrahim Elsaid
Graduate School Of Science And Technology Chiba University
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