Approximate reasoning algorithm of interval-valued fuzzy sets based on least square method

被引：10
|
作者：
Zeng, Wenyi [1 ]
Feng, Shuang [2 ]
机构：
[1] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Sch Appl Math, Zhuhai 519087, Guangdong, Peoples R China
来源：
INFORMATION SCIENCES | 2014年 / 272卷
基金：
中国国家自然科学基金;
关键词：
Interval-valued fuzzy set; Fuzzy set; Bidirectional approximate reasoning; Least square method; Generalized modus ponens; Generalized modus tollens; SIMILARITY MEASURE; INFERENCE; ENTROPY;
D O I：
10.1016/j.ins.2014.02.078
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 paper, we develop a new method for bidirectional approximate reasoning of interval-valued fuzzy sets by employing least squares method and investigate some properties for our proposed approximate reasoning method. Furthermore, we use four numerical examples to illustrate our proposed method reasonable. (C) 2014 Elsevier Inc. All rights reserved.
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页码：73 / 83
页数：11
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