Entropy Measures of Probabilistic Linguistic Term Sets
- DOI
- 10.2991/ijcis.11.1.4How to use a DOI?
- Keywords
- Probabilistic linguistic term set; fuzzy entropy; hesitant entropy; total entropy
- Abstract
The probabilistic linguistic term sets (PLTSs) are powerful to deal with the hesitant linguistic situation in which each provided linguistic term has a probability. The PLTSs contain uncertainties caused by the linguistic terms and their probability information. In order to measure such uncertainties, three entropy measures are proposed: the fuzzy entropy, the hesitant entropy, and the total entropy. The fuzzy entropy measures the fuzziness of the PLTSs, and the hesitant entropy measures the hesitation of the PLTSs. To facilitate the computation of all uncertainties contained in the PLTSs, the total entropy is proposed. Some properties and some formulas of the entropy measures are introduced. A multi-criteria decision making model based on the PLTSs is introduced by using the proposed entropy measures. An illustrative example is provided and the comparison analysis with the existing method is given.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Hongbin Liu AU - Le Jiang AU - Zeshui Xu PY - 2018 DA - 2018/01/01 TI - Entropy Measures of Probabilistic Linguistic Term Sets JO - International Journal of Computational Intelligence Systems SP - 45 EP - 57 VL - 11 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.11.1.4 DO - 10.2991/ijcis.11.1.4 ID - Liu2018 ER -