Rfmtool: Fuzzy Measure Tools for R

Various tools for handling fuzzy measures, calculating Shapley value and Interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package.

Version: 1.2
Depends: R (≥ 2.9.2)
Published: 2016-03-19
Author: Gleb Beliakov [aut, cre], Quan Vu [ctb], Andrei Kelarev [ctb], Michel Berkelaar [ctb], Kjell Eikland [ctb], Samuel E. Buttrey and others [ctb]
Maintainer: Gleb Beliakov <gleb at deakin.edu.au>
BugReports: to gleb.beliakov@deakin.edu.au
License: LGPL-3
Copyright: Gleb Beliakov. The 'lpsolve' library and its parts are copyright to various holders, including Kjell Eikland, Michel Berkelaar, University of Florida, National Institute of Standards and Technology.
NeedsCompilation: yes
CRAN checks: Rfmtool results

Downloads:

Reference manual: Rfmtool.pdf
Package source: Rfmtool_1.2.tar.gz
Windows binaries: r-devel: Rfmtool_1.2.zip, r-release: Rfmtool_1.2.zip, r-oldrel: Rfmtool_1.2.zip
OS X El Capitan binaries: r-release: Rfmtool_1.2.tgz
OS X Mavericks binaries: r-oldrel: Rfmtool_1.2.tgz
Old sources: Rfmtool archive

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