7 citations · 35 across the 16 of their papers we have counts for
8 papers · 1 filter
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…
Certain Bayesian Network based on Fuzzy knowledge Bases
Abdelkader Heni, Mohamed Nazih Omri, Adel Alimi
In this paper, we are trying to examine trade offs between fuzzy logic and certain Bayesian networks and we propose to combine their respective advantages into fuzzy certain Bayesi…
Use of Fuzzy Sets in Semantic Nets for Providing On-Line Assistance to User of Technological Systems
Mohamed Nazih Omri, Mohamed Ali Mahjoub
The main objective of this paper is to develop a new semantic Network structure, based on the fuzzy sets theory, used in Artificial Intelligent system in order to provide effective…
Loopy Belief Propagation in Bayesian Networks : origin and possibilistic perspectives
Amen Ajroud, Mohamed Nazih Omri, Habib Youssef +1
In this paper we present a synthesis of the work performed on two inference algorithms: the Pearl's belief propagation (BP) algorithm applied to Bayesian networks without loops (i.…