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
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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.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ting-Yu Chen
AU  - Jih-Chang Wang
PY  - NaN/NaN
DA  - NaN/NaN
TI  - Reducing Positive Leniency in Fuzzy Measure Ratings
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.18
DO  - https://doi.org/10.2991/jcis.2006.18
ID  - ChenNaN/NaN
ER  -