Abstract
Choquet integral models are useful comprehensive evaluation models including interaction effects among evaluation items. Introducing a constant, Choquet integral model enables to change evaluation attitudes at the constant. In this paper, monotonicity and normality are defined for the model. We propose a global fuzzy measure identification method from upper and lower ordinal fuzzy measures and a constant. Lastly, we compare the models with the ordinal Choquet integral, the Choquet-integral-based evaluations by fuzzy rules, the cumulative prospect theory and the bi-capacities model.
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Takahagi, E. (2010). Choquet Integral Models with a Constant. In: Huynh, VN., Nakamori, Y., Lawry, J., Inuiguchi, M. (eds) Integrated Uncertainty Management and Applications. Advances in Intelligent and Soft Computing, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11960-6_23
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DOI: https://doi.org/10.1007/978-3-642-11960-6_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11959-0
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