Aggregative Assessment Method for Sampling Survey with the Linear Order Character of Symmetric Fuzzy Linguistics

Traditional sampling survey via questionnaire is difficult in reflecting interviewee´s incomplete 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, we propose a model with the linear order character of symmetric fuzzy linguistics for sampling survey to do aggregated assessment analysis. The proposed fuzzy assessment method on sampling survey analysis is easily to assess the sampling survey and make the aggregative evaluation.