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
Available Online October 2006.
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)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
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  - 2006/10
DA  - 2006/10
TI  - Reducing Positive Leniency in Fuzzy Measure Ratings
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.18
DO  - https://doi.org/10.2991/jcis.2006.18
ID  - Chen2006/10
ER  -