Abstract
This paper compares three well known defuzzifications methods with the sample mean for fuzzy numbers, namely: Yager index, centroid and possibilistic mean. Fuzzy random variable generation was performed to carry out the comparison over the necessity of statistical independence. Our experimental evidence suggests the four approaches exhibits interesting differences among them.
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Figueroa-García, J.C., Soriano-Mendez, J., Melgarejo-Rey, M.A. (2019). A Note on the Centroid, Yager Index and Sample Mean for Fuzzy Numbers. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_9
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DOI: https://doi.org/10.1007/978-3-030-21920-8_9
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