Abstract
In this paper, we reported a mathematical model using fuzzy relation equations to describe the fault diagnosis based on cause and effect analysis. Generally, with the solution set of the fuzzy relation equations being non-convex, in order to solve such problems, we propose a genetic algorithm and present a computer simulation example to evaluate the performance of the proposed algorithm.
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Acknowledgements
We would like to express our appreciation to the editor and the anonymous reviewers for their valuable comments, which have been very helpful in improving the paper. This work is supported by the Natural Science Foundation of Guangdong Province (2016A030307037, 2016A030313552), the General Fund Project of the Ministry of Education and Social Science Research (16YJAZH081).
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This paper is recommended by Yu-bin Zhong who is a professor of Guangzhou University in China.
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Mai, H., Cao, By., Zhou, XG. (2020). The Application of Fuzzy Relational Equations and Genetic Algorithm in Fault Diagnosis Problem. In: Cao, By. (eds) Fuzzy Information and Engineering-2019. Advances in Intelligent Systems and Computing, vol 1094. Springer, Singapore. https://doi.org/10.1007/978-981-15-2459-2_15
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DOI: https://doi.org/10.1007/978-981-15-2459-2_15
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