Necessity Analysis of Fuzzy Regression Equations Using a Fuzzy Goal Programming Model

被引：0
|
作者：
Tsaur, Ruey-Chyn [1 ]
Wang, Hsiao-Fan [1 ]
机构：
[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu, Taiwan
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2009年 / 11卷 / 02期
关键词：
Fuzzy regression model; fuzzy data; necessity analysis; fuzzy goal programming; tolerance value; SUPPORT VECTOR REGRESSION; LINEAR-REGRESSION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, using necessity analysis, we located a fuzzy regression interval that is possibly included in collected interval data by reducing the effect of fluctuating points. First, we developed a fuzzy regression model with a regression interval that is close to the sum of the radius values of collected interval data. Next, we enlarged the feasible region so that the fuzzy regression interval may be possibly included in the collected data by fuzzifying the constraints of the fuzzy regression model within a given tolerance value. Finally, we derived a satisfactory fuzzy regression equation with maximum possibility. The application of the proposed model is illustrated by means of an example.
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页码：107 / 115
页数：9
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