Rfmtool
Fuzzy Measure Tools
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. Please refer to the following: [1] https://personal-sites.deakin.edu.au/~gleb/fmtools.html [2] G. Beliakov, H. Bustince, T. Calvo, 'A Practical Guide to Averaging', Springer, (2016, ISBN: 978-3-319-24753-3). [3] G. Beliakov, S. James, J-Z. Wu, 'Discrete Fuzzy Measures', Springer, (2020, ISBN: 978-3-030-15305-2).
- Version5.0.4
- R versionunknown
- LicenseLGPL-3
- Needs compilation?Yes
- Last release06/02/2024
Team
Gleb Beliakov
Timothy A. Davis
Quan Vu
Show author detailsRolesContributorAndrei Kelarev
Show author detailsRolesContributorMichel Berkelaar
Show author detailsRolesContributorKjell Eikland
Show author detailsRolesContributorSamuel E. Buttrey
Show author detailsRolesContributorStefan I. Larimore
Show author detailsRolesContributorJohn Gilbert
Show author detailsRolesContributorEsmond Ng
Show author detailsRolesContributorPeter Notebaert
Show author detailsRolesContributorRichard Stallman
Show author detailsRolesContributorJeroen Dirks
Show author detailsRolesContributorDaniela L. Calderon
Show author detailsRolesContributor
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