Fuzzy Assessment for Sampling Survey Defuzzification by Signed Distance Method

被引：1
|
作者：
Lin, Lily [1 ]
Lee, Huey-Ming [2 ]
机构：
[1] China Univ Technol, Dept Int Business, 56,Sec 3,Hsing Lung Rd, Taipei 116, Taiwan
[2] Chinese Culture Univ, Dept Informat Management, Taipei 11114, Taiwan
来源：
ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ISDA.2008.109
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Traditional sampling survey via questionnaire is difficult in reflecting interviewee's incomplete assessment and uncertain thought. Therefore, if we can use fuzzy sense of sampling to express the degree of interviewee's feelings based on his own concept, the result will be closer to interviewee's real thought. In this study, a new method for the defuzzification of fuzzy assessment for sampling survey is developed in this paper. We propose a model to do aggregative assessment for sampling survey by signed distance method with the linear order character of symmetric fuzzy linguistics. The proposed fuzzy assessment method on sampling survey analysis is easily to assess the sampling survey and make the aggregative evaluation.
引用
收藏
页码：626 / +
页数：3
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