Abstract
Based on the paper [1,2,3,4,5,6,7,8,9,10,11], this paper studied matrix representation of six basic transformations in error logic and their application in eliminating or avoiding errors, including the following: Similar conjunctions corresponds to \( T_{x}^{ - 1} \) (reverse similarity); The replacement conjunction corresponds to \( T_{z}^{ - 1} \) (inverse permutation); The addition of the conjunction corresponds to \( T_{zn}^{ - 1} \) (reducing the transforming word); The decomposed conjunction corresponds to \( T_{f}^{ - 1} \) (combination transformation words); Destroyed conjunction corresponds to \( T_{h}^{ - 1} \) (produce a transformative word); Unit conversion Conjunction word system Td (unit); corresponds to \( T_{d}^{ - 1} \) (inverse unit conversion word); Error logical quantifier system.
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Acknowledgments
This project is supported by Postdoctoral Science Foundation(Grant No. 2015M572315), the Central University Basic Scientific Research Foundation (Grant No. 2015ZM141) and the Natural Science Foundation of Guangdong Province, China (Grant No. 2016A030313454).
Referrer: Kai-zhong Guo, Professor, School of Management, GuangDong University of Technology, GuangZhou, 510075, China.
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Qiwei, G., Liting, Z., Juan, D. (2018). The Matrix Representation of Fuzzy Error Logic Conjunction and Applied Research. In: Cao, BY. (eds) Fuzzy Information and Engineering and Decision. IWDS 2016. Advances in Intelligent Systems and Computing, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-66514-6_31
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DOI: https://doi.org/10.1007/978-3-319-66514-6_31
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