García Rosa, Ricardo, and Pedro Lucio, Teresa de. "Modeling a fuzzy coprocessor and its programming language.." Mathware and Soft Computing 5.2-3 (1998): 167-174. <http://eudml.org/doc/39132>.
@article{GarcíaRosa1998,
abstract = {A computational model for a fuzzy coprocessor (types and structures of data and the set of instructions) is proposed. The coprocessor will be charged only of the typical operations of fuzzy logic as calculating membership degrees, unions and intersections of fuzzy sets, fuzzy inferences, defuzzifications and so on. One main novelty is that the programming language admits fuzzy rules conditions in which there would be linguistic edges preceding the predicates and the coprocessor is designed to deal with them directly. In order to that, the compiler codifies both the predicates and the edges into the instructions. Using this coprocessor the number of linguistic values of the variables and the number of rules can be reduced and the executions of systems based on fuzzy rules will be speeded up.},
author = {García Rosa, Ricardo, Pedro Lucio, Teresa de},
journal = {Mathware and Soft Computing},
keywords = {Modelos matemáticos; Tratamiento de datos; Lógica difusa; Lenguajes de programación; Optimización; Inteligencia artificial; fuzzy coprocessor},
language = {eng},
number = {2-3},
pages = {167-174},
title = {Modeling a fuzzy coprocessor and its programming language.},
url = {http://eudml.org/doc/39132},
volume = {5},
year = {1998},
}
TY - JOUR
AU - García Rosa, Ricardo
AU - Pedro Lucio, Teresa de
TI - Modeling a fuzzy coprocessor and its programming language.
JO - Mathware and Soft Computing
PY - 1998
VL - 5
IS - 2-3
SP - 167
EP - 174
AB - A computational model for a fuzzy coprocessor (types and structures of data and the set of instructions) is proposed. The coprocessor will be charged only of the typical operations of fuzzy logic as calculating membership degrees, unions and intersections of fuzzy sets, fuzzy inferences, defuzzifications and so on. One main novelty is that the programming language admits fuzzy rules conditions in which there would be linguistic edges preceding the predicates and the coprocessor is designed to deal with them directly. In order to that, the compiler codifies both the predicates and the edges into the instructions. Using this coprocessor the number of linguistic values of the variables and the number of rules can be reduced and the executions of systems based on fuzzy rules will be speeded up.
LA - eng
KW - Modelos matemáticos; Tratamiento de datos; Lógica difusa; Lenguajes de programación; Optimización; Inteligencia artificial; fuzzy coprocessor
UR - http://eudml.org/doc/39132
ER -
