Bisection Algorithms for Solving lambda-Fuzzy Measures
Ting-Yu Chen1, Jih-Chang Wang
1Department of Business Administration, Chang Gung University
Available Online October 2006.
- 10.2991/jcis.2006.17How to use a DOI?
- Fuzzy measure; bisection algorithm; computing complexity
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.
- © 2006, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SP - 69 EP - 73 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.17 DO - 10.2991/jcis.2006.17 ID - Chen2006/10 ER -