Title :
Fuzzy Assessment for Sampling Survey Defuzzification by Signed Distance Method
Author :
Lin, Lily ; Lee, Huey-Ming
Author_Institution :
Dept. of Int. Bus., China Univ. of Technol., Taipei
Abstract :
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.
Keywords :
fuzzy set theory; sampling methods; fuzzy assessment method; linear order character; sampling survey defuzzification; signed distance method; symmetric fuzzy linguistics; Decision making; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information management; Intelligent systems; Programming; Sampling methods; Statistical analysis; Fuzzy assessment; Sampling survey; Signed distance method;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.109