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Fuzzy assessment method on sampling survey analysis
Authors:Lily Lin  Huey-Ming Lee
Affiliation:1. Wildbase, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand;2. School of Communication, Journalism and Marketing, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand
Abstract: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.
Keywords:
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