9th Joint International Conference on Information Sciences (JCIS-06)

Reducing Positive Leniency in Fuzzy Measure Ratings

Authors
Ting-Yu Chen 0, Jih-Chang Wang
Corresponding author
Ting-Yu Chen
0Department of Business Administration, Chang Gung University
DOI
https://doi.org/10.2991/jcis.2006.18How to use a DOI?
Keywords
Fuzzy Measure, Positive Leniency, Fuzzy Distance Measure
Abstract
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.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Chen2006,
  title={Reducing Positive Leniency in Fuzzy Measure Ratings},
  author={Chen, Ting-Yu and Wang, Jih-Chang},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.18},
  doi={10.2991/jcis.2006.18},
  publisher={Atlantis Press}
}
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