La verificación estructural de sistemas basados en conocimiento.
L'aide multicritère à la décision : un cas d'intégration de critères techniques, économiques et environnementaux à Hydro-Québec
Latent Semantic Indexing using eigenvalue analysis for efficient information retrieval
Text retrieval using Latent Semantic Indexing (LSI) with truncated Singular Value Decomposition (SVD) has been intensively studied in recent years. However, the expensive complexity involved in computing truncated SVD constitutes a major drawback of the LSI method. In this paper, we demonstrate how matrix rank approximation can influence the effectiveness of information retrieval systems. Besides, we present an implementation of the LSI method based on an eigenvalue analysis for rank approximation...
Les problématiques de l'aide à la décision : vers l'enrichissement de la trilogie choix-tri-rangement
Linguistic knowledge base simplification regarding accuracy and interpretability.
This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good trade-off between them, as well as consistency of the final knowledge base. It is used with linguistic rules which can be defined by expert, induced by data, or both of them. The simplification process is applied to the well known wine classification problem. The results are encouraging.
Meta-modelling based specifications for adaptive collaborative environments.
Mining indirect association rules for web recommendation
Classical association rules, here called “direct”, reflect relationships existing between items that relatively often co-occur in common transactions. In the web domain, items correspond to pages and transactions to user sessions. The main idea of the new approach presented is to discover indirect associations existing between pages that rarely occur together but there are other, “third” pages, called transitive, with which they appear relatively frequently. Two types of indirect associations rules...
Modeling biased information seeking with second order probability distributions
Updating probabilities by information from only one hypothesis and thereby ignoring alternative hypotheses, is not only biased but leads to progressively imprecise conclusions. In psychology this phenomenon was studied in experiments with the “pseudodiagnosticity task”. In probability logic the phenomenon that additional premises increase the imprecision of a conclusion is known as “degradation”. The present contribution investigates degradation in the context of second order probability distributions....
On learning in a fuzzy rule-based expert system
Ontologies and soft computing in flexible querying
Partially ordered combining structures and multiple sources of knowledge evidences in rule-based expert systems
Representación de datos de conjuntos aproximados mediante diagramas de decisión binarios.
A new information system representation, which inherently represents indiscernibility is presented. The basic structure of this representation is a Binary Decision Diagram. We offer testing results for converting large data sets into a Binary Decision Diagram Information System representation, and show how indiscernibility can be efficiently determined. Furthermore, a Binary Decision Diagram is used in place of a relative discernibility matrix to allow for more efficient determination of the discernibility...
Representation of fuzzy knowledge bases using Petri nets: operation in the truth space.
In this paper the execution of Fuzzy Knowledge Bases in the truth space is briefly analyzed. The computational efficiency of the process is significantly increased by means of a parameterized description based on the linguistic truth values described by Baldwin. This permits executing the Fuzzy Knowledge Base through operations involving only simple numerical values, thus avoiding the direct analytic manipulation of possibility distributions. A Petri Net-based formalism that permits representing...
Rule-based fuzzy object similarity.
A new similarity measure for objects that are represented by feature vectors of fixed dimension is introduced. It can simultaneously deal with numeric and symbolic features. Also, it can tolerate missing feature values. The similarity measure between two objects is described in terms of the similarity of their features. IF-THEN rules are being used to model the individual contribution of each feature to the global similarity measure between a pair of objects. The proposed similarity measure is based...
Scheduling trajectories on a planar surface with moving obstacles.
Schema mapping and query reformulation in peer-to-peer XML data integration system
Special issue on uncertainty processing
: a proposed framework for using topic maps to manage information in blood donation units.
Testing and Validation of an Expert System for Advising on Spares for Maintenance Purposes
The expert system shell EQUANT-PC: brief information