Bisection Algorithms for Solving lambda-Fuzzy Measures

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.

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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  - https://doi.org/10.2991/jcis.2006.17
ID  - Chen2006/10
ER  -