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
Available Online undefined NaN.
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
undefined NaN
ISBN
978-90-78677-01-7
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  - NaN/NaN
DA  - NaN/NaN
TI  - Bisection Algorithms for Solving lambda-Fuzzy Measures
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.17
DO  - https://doi.org/10.2991/jcis.2006.17
ID  - ChenNaN/NaN
ER  -