Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Applying fuzzy set theory to evaluate the rate of aggregative risk in software development
Fuzzy Sets and Systems
Fuzzy assessment for sampling survey defuzzification by signed distance method
Expert Systems with Applications: An International Journal
Designing a learning system based on voice mail: a case study of English oral training
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Fuzzy decision making for diagnosing machine fault
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
A novel Likert scale based on fuzzy sets theory
Expert Systems with Applications: An International Journal
Excluded-mean-variance neural decision analyzer for qualitative group decision making
Advances in Fuzzy Systems - Special issue on Real-Life Applications of Fuzzy Logic
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Developing a well-designed market survey questionnaire will ensure that surveyors get the information they need about the target market. Traditional sampling survey via questionnaire, which rates item by linguistic variables, possesses the vague nature. It has difficulty in reflecting interviewee's incomplete and uncertain thought. Therefore, if we can use fuzzy sense to express the degree of interviewee's feelings based on his own concept, the sampling result will be closer to interviewee's real thought. In this study, we propose the fuzzy sense on sampling survey to do aggregated assessment analysis. The proposed fuzzy assessment method on sampling survey analysis is easily to assess the sampling survey and evaluate the aggregative evaluation.