Using fuzzy similarity relations to revise and update a knowledge base.

Rodríguez, Ricardo, García, Pere, and Godo, Lluis. "Using fuzzy similarity relations to revise and update a knowledge base.." Mathware and Soft Computing 3.3 (1996): 357-370. <http://eudml.org/doc/39088>.

@article{Rodríguez1996,
abstract = {Similarity-based models were first used by Ruspini to give semantics to fuzzy logic. In these models, incomplete information is represented by an evidential set, i.e. a set of possible worlds that are compatible with the evidence, together with a fuzzy similarity relation\} on the set of possible worlds that allows to describe the resemblance of arbitrary subsets of worlds to those belonging to the evidencial set. On the other hand, the question addressed by theory change formalisms is which kind of modifications have to be performed to a knowledge base when adding (retracting) a new proposition to (from) that knowledge base. Revision and update are the two theory change operations which have received more attention in the literature. In this paper we study a connection between similarity-based models and theory change, coming from the fact that revision and updating operators have been characterized by Katsuno and Mendelson in terms of pre-order relations in a set of possible worlds. Pre-order relations arise in a natural way in the similarity-based models.},
author = {Rodríguez, Ricardo, García, Pere, Godo, Lluis},
journal = {Mathware and Soft Computing},
keywords = {Consistencia; Operadores lógicos; Medidas difusas; Variables difusas; Sistemas expertos; Bases de conocimiento; Semántica; fuzzy knowledge bases; fuzzy expert systems; linguistic truth values; Petri Net},
language = {eng},
number = {3},
pages = {357-370},
title = {Using fuzzy similarity relations to revise and update a knowledge base.},
url = {http://eudml.org/doc/39088},
volume = {3},
year = {1996},
}

TY - JOUR
AU - Rodríguez, Ricardo
AU - García, Pere
AU - Godo, Lluis
TI - Using fuzzy similarity relations to revise and update a knowledge base.
JO - Mathware and Soft Computing
PY - 1996
VL - 3
IS - 3
SP - 357
EP - 370
AB - Similarity-based models were first used by Ruspini to give semantics to fuzzy logic. In these models, incomplete information is represented by an evidential set, i.e. a set of possible worlds that are compatible with the evidence, together with a fuzzy similarity relation} on the set of possible worlds that allows to describe the resemblance of arbitrary subsets of worlds to those belonging to the evidencial set. On the other hand, the question addressed by theory change formalisms is which kind of modifications have to be performed to a knowledge base when adding (retracting) a new proposition to (from) that knowledge base. Revision and update are the two theory change operations which have received more attention in the literature. In this paper we study a connection between similarity-based models and theory change, coming from the fact that revision and updating operators have been characterized by Katsuno and Mendelson in terms of pre-order relations in a set of possible worlds. Pre-order relations arise in a natural way in the similarity-based models.
LA - eng
KW - Consistencia; Operadores lógicos; Medidas difusas; Variables difusas; Sistemas expertos; Bases de conocimiento; Semántica; fuzzy knowledge bases; fuzzy expert systems; linguistic truth values; Petri Net
UR - http://eudml.org/doc/39088
ER -