A note on "New estimation method for the membership values in fuzzy sets"

Chen at al. [1], have proposed a new estimation method for the membership v alues in fuzzy sets. The proposed scheme takes input from empirical/experim ental data, which reflect the expert's knowledge on the relative degree of belonging of the members, and then searches for the best fit membership val ues of tilt 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 guar antee its positiveness. 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.