Inference of fuzzy regular grammars from examples.

Inmaculada Fortes; Rafael Morales; José Luis Pérez de la Cruz; Francisco Triguero; M. A. Comino

Mathware and Soft Computing (1999)

  • Volume: 6, Issue: 2-3, page 277-291
  • ISSN: 1134-5632

Abstract

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Let us consider the following situation: An oracle provides us with a finite set of examples considered as words belonging to a regular language. This oracle is not available again. In this paper we study a new and general inference algorithm of fuzzy regular grammars based on this set of words. This algorithm is created by adapting a process discovery method. The main issues in the adaptation are the development of a fuzzy version, the assignation of membership degrees to each production in the grammar, and the treatment of consecutive repeated symbols. In addition to this inference algorithm we present a practical use for automatically generating artistic designs. Specifically, we have collected a set of paintings by Piet Mondrian (1872-1944) and obtained new Mondrian-style paintings. To achieve this, we designed a code to transform the paintings into strings and also to carry out the reverse conversion. We view these strings, which represent the paintings, as words belonging to a regular language and from this finite set of examples infer a fuzzy regular grammar. The entire process has been implemented and some new paintings from the inference algorithm have been obtained. An art expert has judged that these computer-generated paintings are fully in the spirit of those painted by Mondrian.

How to cite

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Fortes, Inmaculada, et al. "Inference of fuzzy regular grammars from examples.." Mathware and Soft Computing 6.2-3 (1999): 277-291. <http://eudml.org/doc/39168>.

@article{Fortes1999,
abstract = {Let us consider the following situation: An oracle provides us with a finite set of examples considered as words belonging to a regular language. This oracle is not available again. In this paper we study a new and general inference algorithm of fuzzy regular grammars based on this set of words. This algorithm is created by adapting a process discovery method. The main issues in the adaptation are the development of a fuzzy version, the assignation of membership degrees to each production in the grammar, and the treatment of consecutive repeated symbols. In addition to this inference algorithm we present a practical use for automatically generating artistic designs. Specifically, we have collected a set of paintings by Piet Mondrian (1872-1944) and obtained new Mondrian-style paintings. To achieve this, we designed a code to transform the paintings into strings and also to carry out the reverse conversion. We view these strings, which represent the paintings, as words belonging to a regular language and from this finite set of examples infer a fuzzy regular grammar. The entire process has been implemented and some new paintings from the inference algorithm have been obtained. An art expert has judged that these computer-generated paintings are fully in the spirit of those painted by Mondrian.},
author = {Fortes, Inmaculada, Morales, Rafael, Pérez de la Cruz, José Luis, Triguero, Francisco, Comino, M. A.},
journal = {Mathware and Soft Computing},
keywords = {Inferencia estadística; Lógica difusa; Lógica modal; fuzzy regular grammars; process discovery; fuzzy relations; computational learning},
language = {eng},
number = {2-3},
pages = {277-291},
title = {Inference of fuzzy regular grammars from examples.},
url = {http://eudml.org/doc/39168},
volume = {6},
year = {1999},
}

TY - JOUR
AU - Fortes, Inmaculada
AU - Morales, Rafael
AU - Pérez de la Cruz, José Luis
AU - Triguero, Francisco
AU - Comino, M. A.
TI - Inference of fuzzy regular grammars from examples.
JO - Mathware and Soft Computing
PY - 1999
VL - 6
IS - 2-3
SP - 277
EP - 291
AB - Let us consider the following situation: An oracle provides us with a finite set of examples considered as words belonging to a regular language. This oracle is not available again. In this paper we study a new and general inference algorithm of fuzzy regular grammars based on this set of words. This algorithm is created by adapting a process discovery method. The main issues in the adaptation are the development of a fuzzy version, the assignation of membership degrees to each production in the grammar, and the treatment of consecutive repeated symbols. In addition to this inference algorithm we present a practical use for automatically generating artistic designs. Specifically, we have collected a set of paintings by Piet Mondrian (1872-1944) and obtained new Mondrian-style paintings. To achieve this, we designed a code to transform the paintings into strings and also to carry out the reverse conversion. We view these strings, which represent the paintings, as words belonging to a regular language and from this finite set of examples infer a fuzzy regular grammar. The entire process has been implemented and some new paintings from the inference algorithm have been obtained. An art expert has judged that these computer-generated paintings are fully in the spirit of those painted by Mondrian.
LA - eng
KW - Inferencia estadística; Lógica difusa; Lógica modal; fuzzy regular grammars; process discovery; fuzzy relations; computational learning
UR - http://eudml.org/doc/39168
ER -

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