This paper employs fuzzy inference approach to overcome the difficulties in reflecting interviewee's incomplete and uncertain thought for survey. This proposed approach, different from conventional survey algorithms via questionnaire rating item by linguistic variables, possesses the vague nature, employs 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 addition, an example implementation establishes to illustrate the rate of aggregative investment benefit evaluation process under the fuzzy environment. The proposed fuzzy assessment method for sampling survey using linear order symmetrical linguistics is easily to assess the survey and evaluate the aggregated assessment.
