Abstract
The aim of this paper is to propose a new similarity measure between linguistic terms by using restricted equivalence functions. We formally define it and prove that it fulfills similarity conditions. We explain how this measure can be employed for improving approximate reasoning in expert system inference engines and for maximizing similarity measures between linguistic terms. Finally, an experimental comparison between similarity measures is performed.
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Notes
- 1.
Web Site of Bousi Prolog: http://www.face.ubiobio.cl/~clrubio/bousiTools/.
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Acknowledgements
This work has been done in collaboration with the research group SOMOS (SOftware-MOdelling-Science) funded by the Research Agency and the Graduate School of Management of the Bío-Bío University.
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Rubio-Manzano, C. (2019). Similarity Measure Between Linguistic Terms by Using Restricted Equivalence Functions and Its Application to Expert Systems. In: Cornejo, M., Kóczy, L., Medina, J., De Barros Ruano, A. (eds) Trends in Mathematics and Computational Intelligence. Studies in Computational Intelligence, vol 796. Springer, Cham. https://doi.org/10.1007/978-3-030-00485-9_11
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DOI: https://doi.org/10.1007/978-3-030-00485-9_11
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