Fuzzy C-Means for Fuzzy Data R package fcmfd version 0.1.2 Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>. Software Depends: R (>= 3.5) Imports: stats, graphics Suggests: knitr, rmarkdown, testthat (>= 3.0.0) José Ortigas <jose.ortigas@unmsm.edu.pe> Comprehensive R Archive Network (CRAN) José Ortigas [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=fcmfd/LICENSE) 2026-07-05 application/tgz https://CRAN.R-project.org/package=fcmfd doi:10.32614/CRAN.package.fcmfd