fcaR1.2.2 package

Formal Concept Analysis

as_Set

Convert Named Vector to Set

as_vector

Convert Set to vector

Concept

R6 class for a fuzzy concept with sparse internal representation

ConceptLattice

R6 class for a concept lattice

ConceptSet

R6 class for a set of concepts

equivalencesRegistry

Equivalence Rules Registry

fcaR-package

fcaR: Tools for Formal Concept Analysis

fcaR_options

Set or get options for fcaR

FormalContext

R6 class for a formal context

grapes-and-grapes

Intersection (Logical AND) of Fuzzy Sets

grapes-entails-grapes

Entailment between implication sets

grapes-equals-grapes

Equality in Sets and Concepts

grapes-grapes

Difference in Sets

grapes-holds_in-grapes

Implications that hold in a Formal Context

grapes-less-than-equals-grapes

Partial Order in Sets and Concepts

grapes-or-grapes

Union (Logical OR) of Fuzzy Sets

grapes-respects-grapes

Check if Set or FormalContext respects an ImplicationSet

grapes-twiddle-grapes

Equivalence of sets of implications

ImplicationSet

R6 Class for Set of implications

parse_implication

Parses a string into an implication

parse_implications

Parses several implications given as a string

pipe

Pipe operator

scalingRegistry

Scaling Registry

Set

R6 class for a fuzzy set with sparse internal representation

Download source packageRead PDF manual

Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems.

  • Maintainer: Domingo Lopez Rodriguez
  • License: GPL-3
  • Last published: 2023-11-30

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