For social science research, many decisions, evaluations, or purpose of evaluation are done by the survey or questionnaire to seek for people's consensus. The commonly used methods are the surveys or questionnaires: asking people to think in binary logic way from a multiple choice design. However these processes often ignore the fuzzy thinking perceived in human logic and recognition. Thus, employing the membership function and statistical fuzzy analysis will be a more heuristic way. In this paper we will employ the membership function and statistical fuzzy analysis and will provide the definitions of fuzzy mode, fuzzy median as well as investigation of their related properties. We also give some empirical examples to illustrate the techniques and to analyze fuzzy data. Result shows that fuzzy statistics with soft computing are more realistic and reasonable for the social science research. Finally certain comments are suggested for the further studies.