A METHOD FOR MULTI-CRITERIA DECISION MAKING UNDER UNCERTAINTY
DOI:
https://doi.org/10.46991/PYSU:A/2018.52.2.140Keywords:
decision maker, multi-attribute value theory (MAVT), normal distribution, evaluation criteriaAbstract
This work presents development of a method for multi-criteria decision making under uncertainty conditions based on single-attribute value functions and probabilistic distributions. The values of different criteria are modeled using normal distributions, i.e. the value of the $ i $-th criteria of the $ j $-th option is given by $ x^j_i \sim \mathcal{N} ({\mu}^j_i, {\sigma}^j_i) $ distribution. The method is evaluated and the results are analyzed on a simple example.
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Published
2018-08-15
How to Cite
Gevorgyan, A., & Avagyan, H. (2018). A METHOD FOR MULTI-CRITERIA DECISION MAKING UNDER UNCERTAINTY. Proceedings of the YSU A: Physical and Mathematical Sciences, 52(2 (246), 140–143. https://doi.org/10.46991/PYSU:A/2018.52.2.140
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Physics
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Copyright (c) 2018 Proceedings of the YSU
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.