Fuzzy approach to Likert Spectrum in Classified levels in Surveying researches

Educattion researches in surveying researches of qualifying type are generally exposed to Nominal or Ordinal classified levels. In ordinal level in opinion polling papers, most researchers deal with choices such as very good (very much), good (much), OK (to some extent), poor (little), very poor (very little) and so on. Researchers are forced to analyze the data in order to correspond them to quantity. For this action, the 5-level Likert spectrum (American Sociologist) is used and correspond them to 1, 2, 3, 4, 5 with equal distances of same value, so it used non-parameter tests because of non-parameter data. Since the respondents’ view was considered as a kind of show-off, itʹs obvious that, first, that is a difference between beliefs and views which lead to difficulty in analysis. Second, these is a kind of ambiguity and overlapping in the vicinity of the border of choices that can lead to error in deviation, variance, and test use. This problem also increases the analysis problem and reduces the precision. In this paper, the purpose of writer is to have a fuzzy approach to Likert spectrum and use the fuzzy model for research analysis.