A new kind of fuzzy regression modeling and its combination with fuzzy inference

被引：5

作者：

Alex, R ^{[1
]}

机构：

[1] W Texas A&M Univ, Dept Comp Informat Syst, Canyon, TX 79016 USA

来源：

SOFT COMPUTING | 2006年 / 10卷 / 07期

关键词：

Regression Modeling; Regression Model; Mathematical Logic; Information Resource; Application Problem;

D O I：

10.1007/s00500-005-0516-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new kind of fuzzy regression model suggested by the author in papers [1] and [2] will be restated more clearly. Then a consistency between the new fuzzy regression modeling and fuzzy inference modeling will be presented, showing its added advantage for application problems. Based on the consistency, a method for combining fuzzy regression and fuzzy inference will be introduced in this paper. This will serve as the starting point for applying the two kinds of information resources, quantitative and qualitative information resources, simultaneously in practical prediction problems.

引用

页码：618 / 622

页数：5