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Rfmtool  

Fuzzy Measure Tools
View on CRAN: Click here


Download and install Rfmtool package within the R console
Install from CRAN:
install.packages("Rfmtool")

Install from Github:
library("remotes")
install_github("cran/Rfmtool")

Install by package version:
library("remotes")
install_version("Rfmtool", "5.0.4")



Attach the package and use:
library("Rfmtool")
Maintained by
Gleb Beliakov
[Scholar Profile | Author Map]
First Published: 2016-03-18
Latest Update: 2023-02-04
Description:
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] [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).
How to cite:
Gleb Beliakov (2016). Rfmtool: Fuzzy Measure Tools. R package version 5.0.4, https://cran.r-project.org/web/packages/Rfmtool. Accessed 16 Apr. 2025.
Previous versions and publish date:
1.1 (2016-03-18 00:16), 1.2.2 (2017-12-10 16:32), 1.2 (2016-03-19 10:14), 2.0.0 (2018-03-03 16:09), 3.0.0 (2018-06-05 15:17), 4.1.0 (2021-02-21 18:00), 4.1.2 (2021-06-25 11:50), 4.1.4 (2021-07-27 15:20), 4.1.5 (2022-03-18 02:10), 4.1.6 (2022-03-21 16:50), 4.1.8 (2022-03-27 16:30), 4.1.9 (2022-11-30 09:30), 4.1.10 (2023-02-04 10:32), 5.0.3 (2024-05-30 22:10)
Other packages that cited Rfmtool R package
View Rfmtool citation profile
Other R packages that Rfmtool depends, imports, suggests or enhances
Complete documentation for Rfmtool
Functions, R codes and Examples using the Rfmtool R package
Some associated functions: fm.Banzhaf . fm.Banzhaf2addMob . fm.BanzhafMob . fm.BanzhafMob_sparse . fm.Bipartition . fm.BipartitionBanzhaf . fm.Choquet . fm.Choquet2addMob . fm.ChoquetKinter . fm.ChoquetMob . fm.ChoquetMob_sparse . fm.ConstructLambdaMeasure . fm.ConstructLambdaMeasureMob . fm.EntropyChoquet . fm.EntropyChoquetMob . fm.FuzzyMeasureFitLP . fm.FuzzyMeasureFitLPMob . fm.Init . fm.Interaction . fm.InteractionB . fm.InteractionBMob . fm.InteractionMob . fm.IsMeasureAdditive . fm.IsMeasureAdditiveMob . fm.IsMeasureBalanced . fm.IsMeasureBalancedMob . fm.IsMeasureKmaxitive . fm.IsMeasureKmaxitiveMob . fm.IsMeasureSelfdual . fm.IsMeasureSelfdualMob . fm.IsMeasureSubadditive . fm.IsMeasureSubadditiveMob . fm.IsMeasureSubmodular . fm.IsMeasureSubmodularMob . fm.IsMeasureSuperadditive . fm.IsMeasureSuperadditiveMob . fm.IsMeasureSupermodular . fm.IsMeasureSupermodularMob . fm.IsMeasureSymmetric . fm.IsMeasureSymmetricMob . fm.Mobius . fm.NonadditivityIndex . fm.NonadditivityIndexMob . fm.NonmodularityIndex . fm.NonmodularityIndexKinteractive . fm.NonmodularityIndexMob . fm.NonmodularityIndexMobkadditive . fm.NonmodularityIndex_sparse . fm.OrnessChoquet . fm.OrnessChoquetMob . fm.PrepareSparseFM . fm.Shapley . fm.Shapley2addMob . fm.ShapleyMob . fm.ShapleyMob_sparse . fm.ShowCoalitions . fm.ShowCoalitionsCard . fm.Sugeno . fm.SugenoMob . fm.Zeta . fm.add_pair_sparse . fm.add_singletons_sparse . fm.add_tuple_sparse . fm.dualm . fm.dualmMob . fm.dualmobkadd . fm.errorcheck . fm.expand_2add_full . fm.expand_sparse_full . fm.export_maximal_chains . fm.fitting . fm.fittingKinteractive . fm.fittingKinteractiveAuto . fm.fittingKinteractiveMC . fm.fittingKinteractiveMarginal . fm.fittingKinteractiveMarginalMC . fm.fittingKmaxitive . fm.fittingKtolerant . fm.fittingMob . fm.fittingOWA . fm.fittingWAM . fm.fm_arraysize . fm.free_fm_sparse . fm.generate_fm_2additive_concave . fm.generate_fm_2additive_convex . fm.generate_fm_2additive_convex_sparse . fm.generate_fm_2additive_convex_withsomeindependent . fm.generate_fm_kadditive_convex_sparse . fm.generate_fm_minplus . fm.generate_fm_tsort . fm.generate_fmconvex_tsort . fm.get_num_tuples . fm.get_sizearray_tuples . fm.is_inset_sparse . fm.is_subset_sparse . fm.max_subset_sparse . fm.min_subset_sparse . fm . fm.populate_fm_2add_sparse . fm.populate_fm_2add_sparse_from2add . fm.sparse_get_pairs . fm.sparse_get_singletons . fm.sparse_get_tuples . fm.test . fm.tuple_cardinality_sparse . 
Some associated R codes: Full Rfmtool package functions and examples
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