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.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Chen2006,
  title={Bisection Algorithms for Solving lambda-Fuzzy Measures},
  author={Chen, Ting-Yu and Wang, Jih-Chang},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.17},
  doi={10.2991/jcis.2006.17},
  publisher={Atlantis Press}
}
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