Affiliation:
1. College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, P.R. China
Abstract
Entropy is an important tool to describe the degree of uncertainty of fuzzy sets. In this study, we first define a new entropy and distance measure in the linguistic q-Rung orthopair fuzzy (LIVqROF) environment, and verify its correctness and rationality. Secondly, in the LIVqROF environment, the new entropy formula is effectively applied to the multi-attribute decision making (MADM) with unknown attribute weights, which provides a new idea for solving the MADM problems. Finally, the feasibility and effectiveness of the proposed method are verified by a numerical example.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
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