Reducing Positive Leniency in Fuzzy Measure Ratings

نویسندگان

  • Ting-Yu Chen
  • Jih-Chang Wang
چکیده

Fuzzy measures have been widely used to determine the degrees of subjective importance of evaluation items. However, the leniency error may exist when most attributes are assigned unduly high ratings. Because respondents often assign similarly complimentary scores, errors of positive leniency make it difficult to differentiate the importance of decision attributes. To reduce positive leniency in fuzzy measure ratings, we develop a method by comparison of fuzzy number-valued fuzzy measures using a fuzzy distance measure.

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تاریخ انتشار 2006