期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：170-172
出版社：International Journal of Soft Computing & Engineering
摘要：The uncertainties and its prediction normally tend to be complex phenomena. The randomness and fuzziness are two kinds of uncertainties possible in real time. The randomness deals with the general uncertainties whereas; the fuzzy logic addresses the linguistic uncertainties. The fuzzy logic and its allied field deal with the every part of uncertainties in fuzzy way. For a situation where, complex predictions are to tackle then statistical regression methodology is used from many years. The next step in this scenario for dealing with uncertainties is the ‘Fuzzy Regression’. This paper presents the elementary theory of fuzzy regression and the philosophy behind its potential application.
