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This analysis explores how approximate solutions improve outcomes in fuzzy linear systems, indicating strong utility in complex calculations.
The study of coefficient matrices for fuzzy linear systems has expanded from simple fuzzy numbers to fuzzy complex numbers, and even fully fuzzy linear systems. In order to model and solve data more accurately, the solution of fully fuzzy linear systems is particularly important. This paper adopts the matrix embedding method proposed by Friedman et al. to study the solution of a fully fuzzy complex linear system with a fuzzy complex coefficient matrix and obtains the algebraic solution form and approximate solution calculation method of the linear system. At the same time, this paper adopts a wider range of pseudo geometric fuzzy numbers and corresponding fuzzy operations based on transmission average (TA) for calculation. Practice has shown that the method proposed in this paper has the same approximation effect as other existing solving methods.
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Zhang et al. (2024) studied this question.
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