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rLDCP (version 1.0.2)

Text Generation from Data

Description

Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and methodology that allows us to model complex phenomena, interpreting input data, and generating automatic text reports customized to the user needs (see and ). The proposed package contains a set of methods that facilitates the development of LDCP systems. It main goal is increasing the visibility and practical use of this research line.

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Version

Install

install.packages('rLDCP')

Monthly Downloads

171

Version

1.0.2

License

GPL (>= 2) | file LICENSE

Maintainer

Patricia Conde-Clemente

Last Published

November 10th, 2017

Functions in rLDCP (1.0.2)

fuzzy_rule

Define the fuzzy rule
fuzzy_rules

Define the fuzzy rules
pm

Define the PM
pm_infer

Call the g function
degree_mf

Define generic calculation of fuzzy membership degrees
fuzzy_partitions

Define the fuzzy parititions
ldcp_run

Execute the LDCP system
operator

Define the operator
infer_rules

Make the inference
ldcp

Define the LDCP system
pm_multidimensional

Define the pm of a multidimensional cp
pm_report

Generate the report of y
cp

Define the CP
data_structure

Define the data structure
triangle_mf

Define the triangle membership function
validate_xml

Validate the XML file
xml2rldcp

XML to rLDCP
generate_code

Generate the R code
glmp

Define the GLMP
report_template

Define the report template
trapezoid_mf

Define the trapezoid membership function