A comparison between the resolution and linear optimization of FREs defined by product t-norm and geometric mean operator
Document Type : Research Paper
10.22059/jac.2022.85485
Abstract
In this paper, a type of fuzzy system is firstly investigated whereby the feasible region is defined by the fuzzy relational equalities and the geometric mean as fuzzy composition. Some related basic and theoretical properties are derived and the feasible region is completely determined. Moreover, a comparison is made between this region and FRE defined by product t-norm. Finally, an example is described to illustrate the differences of these two FRE systems.
(2022). A comparison between the resolution and linear optimization of FREs defined by product t-norm and geometric mean operator. Journal of Algorithms and Computation, (), 1-12. doi: 10.22059/jac.2022.85485
MLA
. "A comparison between the resolution and linear optimization of FREs defined by product t-norm and geometric mean operator". Journal of Algorithms and Computation, , , 2022, 1-12. doi: 10.22059/jac.2022.85485
HARVARD
(2022). 'A comparison between the resolution and linear optimization of FREs defined by product t-norm and geometric mean operator', Journal of Algorithms and Computation, (), pp. 1-12. doi: 10.22059/jac.2022.85485
VANCOUVER
A comparison between the resolution and linear optimization of FREs defined by product t-norm and geometric mean operator. Journal of Algorithms and Computation, 2022; (): 1-12. doi: 10.22059/jac.2022.85485
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