7 citations · 35 across the 16 of their papers we have counts for
16 papers
Uncertain and Approximative Knowledge Representation to Reasoning on Classification with a Fuzzy Networks Based System
Mohamed Nazih Omri
The approach described here allows to use the fuzzy Object Based Representation of imprecise and uncertain knowledge. This representation has a great practical interest due to the…
Fuzzy Knowledge Representation, Learning and Optimization with Bayesian Analysis in Fuzzy Semantic Networks
Mohamed Nazih Omri
This paper presents a method of optimization, based on both Bayesian Analysis technical and Gallois Lattice, of a Fuzzy Semantic Networks. The technical System we use learn by inte…
Softening Fuzzy Knowledge Representation Tool with the Learning of New Words in Natural Language
Mohamed Nazih Omri
The approach described here allows using membership function to represent imprecise and uncertain knowledge by learning in Fuzzy Semantic Networks. This representation has a great…
Optimization of Fuzzy Semantic Networks Based on Galois Lattice and Bayesian Formalism
Mohamed Nazih Omri
This paper presents a method of optimization, based on both Bayesian Analysis technical and Galois Lattice of Fuzzy Semantic Network. The technical System we use learns by interpre…
Measure of Similarity between Fuzzy Concepts for Optimization of Fuzzy Semantic Nets
Mohamed nazih Omri, Noureddine Chouigui
This paper presents a method to measure the similarity between different fuzzy concepts in order to optimize Semantic networks. The problem approached is the minimization of the ti…
Objects and Goals Extraction from Semantic Networks : Applications of Fuzzy SetS Theory
Mohamed Nazih Omri
In this paper we present a short survey of fuzzy and Semantic approaches to Knowledge Extraction. The goal of such approaches is to define flexible Knowledge Extraction Systems abl…