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Inference methods for fuzzy systems with non-singleton fuzzification
- Authors: Sinuk V.G.1, Kulabukhov S.V.1
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Affiliations:
- Federal State Budget Educational Institution of Higher Education “Belgorod State Technological University named after V.G. Shukhov”
- Issue: No 2 (2023)
- Pages: 106-112
- Section: Mathematical foundations of information technology
- URL: https://journals.rcsi.science/2071-8632/article/view/286543
- DOI: https://doi.org/10.14357/20718632230211
- ID: 286543
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Abstract
The paper derives the inference result for widely used fuzzy systems in case of non-singleton fuzzification. It is achieved by means of the approach based on the fuzzy truth values, which made it possible to reduce the computational complexity of the inference down to polynomial and to generalize the conditions for logical inference. The most commonly used defuzzification methods in applications were considered along with the obtained expressions of inference result.
About the authors
V. G. Sinuk
Federal State Budget Educational Institution of Higher Education “Belgorod State Technological University named after V.G. Shukhov”
Email: vgsinuk@mail.ru
PhD, associate professor
Russian Federation, BelgorodS. V. Kulabukhov
Federal State Budget Educational Institution of Higher Education “Belgorod State Technological University named after V.G. Shukhov”
Author for correspondence.
Email: qlba@ya.ru
Postgraduate student
Russian Federation, BelgorodReferences
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