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Open AccessArticle

Refined Expected Value Decision Rules under Orthopair Fuzzy Environment

by Yige Xue and Yong Deng *
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(3), 442; https://doi.org/10.3390/math8030442
Received: 17 February 2020 / Revised: 11 March 2020 / Accepted: 13 March 2020 / Published: 18 March 2020
(This article belongs to the Special Issue Fuzziness and Mathematical Logic )
Refined expected value decision rules can refine the calculation of the expected value and make decisions by estimating the expected values of different alternatives, which use many theories, such as Choquet integral, PM function, measure and so on. However, the refined expected value decision rules have not been applied to the orthopair fuzzy environment yet. To address this issue, in this paper we propose the refined expected value decision rules under the orthopair fuzzy environment, which can apply the refined expected value decision rules on the issues of decision making that is described in the orthopair fuzzy environment. Numerical examples were applied to verify the availability and flexibility of the new refined expected value decision rules model. The experimental results demonstrate that the proposed model can apply refined expected value decision rules in the orthopair fuzzy environment and solve the decision making issues with the orthopair fuzzy environment successfully. View Full-Text
Keywords: refined expected value; orthopair fuzzy environment; decision rules refined expected value; orthopair fuzzy environment; decision rules
MDPI and ACS Style

Xue, Y.; Deng, Y. Refined Expected Value Decision Rules under Orthopair Fuzzy Environment. Mathematics 2020, 8, 442.

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