Solving interval type-2 fuzzy relation equations via semi-tensor product of interval matrices

Autor: Aidong Ge, Zhen Chang, Jun-e Feng
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Mathematical Modelling and Control, Vol 3, Iss 4, Pp 331-344 (2023)
Druh dokumentu: article
ISSN: 2767-8946
DOI: 10.3934/mmc.2023027?viewType=HTML
Popis: This paper mainly studied the problem of solving interval type-2 fuzzy relation equations $ \widetilde A \circ \widetilde X = \widetilde B $. First, to solve the interval type-2 fuzzy relation equations, we extend the semi-tensor product of matrices to interval matrices and give its specific definition. Second, the interval type-2 fuzzy relation equation was divided into two parts: primary fuzzy matrix equation $ {\widetilde A_\mu } \circ {\widetilde X_\mu }{\rm{ = }}{\widetilde B_\mu} $ and secondary fuzzy matrix equation $ {\widetilde A_f} \circ {\widetilde X_f} = {\widetilde B_f} $. Since all elements of $ {\widetilde X_f} $ equal to one, only the principal fuzzy matrix equation needs to be considered. Furthermore, it was proved that all solutions can be obtained from the parameter set solutions if the primary fuzzy matrix equation is solvable. Finally, with semi-tensor product of interval matrices, the primary fuzzy matrix equation was transformed into an algebraic equation and the specific algorithm for solving an interval type-2 fuzzy relation equation was proposed.
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