Abstract
In this paper, the basic knowledge of three-way decision and the D-S evidence theory are reviewed, respectively. A new model of the three-way decision is proposed, which is based on a belief function. The probability function is replaced with the belief function in the classical three-way decision model. Besides the decision rules are proposed in this model, some properties are also discussed. Meanwhile, a universe is divided into three disjoint regions by the different values of the belief functions in this model and their decision rules. Finally, a comprehensive illustration is presented to verify the effectiveness and feasibility of this model.
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Xue, Z., Liu, J., Xue, T., Zhu, T., Wang, P. (2014). Three-Way Decision Based on Belief Function. In: Miao, D., Pedrycz, W., Ślȩzak, D., Peters, G., Hu, Q., Wang, R. (eds) Rough Sets and Knowledge Technology. RSKT 2014. Lecture Notes in Computer Science(), vol 8818. Springer, Cham. https://doi.org/10.1007/978-3-319-11740-9_68
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DOI: https://doi.org/10.1007/978-3-319-11740-9_68
Publisher Name: Springer, Cham
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