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

Bisection Algorithms for Solving lambda-Fuzzy Measures

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.2006.17How to use a DOI?
Keywords
Fuzzy measure; bisection algorithm; computing complexity
Abstract
The theory of fuzzy measures has a great potential for real world applications, but limited by the lack of suitable identifying methods. This research proposes a bisection algorithm based on Sugeno measures. The proposed method is simple enough to suit the practical applications for the required data is similar to the traditional weighted-sum method. The computing complexity of this method is O(n), and it is efficient to meet the huge computations in practical.
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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.2006.17How 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  - Bisection Algorithms for Solving lambda-Fuzzy Measures
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.17
DO  - https://doi.org/10.2991/jcis.2006.17
ID  - Chen2006/10
ER  -