Numerous authors have proposed functions to quantify the degree of similarity between two fuzzy numbers using various descriptive parameters, such as the geometric distance, the distance between the centers of gravity or the perimeter. However, these similarity functions have drawbacks for specific situations. We propose a new similarity measure for generalized trapezoidal fuzzy numbers aimed at overcoming such drawbacks. This new measure accounts for the distance between the centers of gravity and the geometric distance but also incorporates a new term based on the shared area between the fuzzy numbers. The proposed measure is compared against other measures in the literature. © 2013 Springer-Verlag.
CITATION STYLE
Vicente, E., Mateos, A., & Jiménez, A. (2013). A new similarity function for generalized trapezoidal fuzzy numbers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7894 LNAI, pp. 400–411). https://doi.org/10.1007/978-3-642-38658-9_36
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