Myriam Bounhas

Some recent advances in reasoning based on analogical proportions

Analogical proportions compare pairs of items (a, b) and (c, d) in terms of their differences and similarities. They play a key role in the formalization of analogical inference. The paper first...

Predicting Preferences by Means of Analogical Proportions

Continuous Analogical Proportions-Based Classifier

A Possibilistic Rule-Based Classifier

Analogical Classification: A Rule-Based View

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

Evenness-Based Reasoning with Logical Proportions Applied to Classification

Comparison of Analogy-Based Methods for Predicting Preferences

An Analogical Interpolation Method for Enlarging a Training Dataset

Logical Proportions-Related Classification Methods Beyond Analogy

Analogical Classification: Handling Numerical Data

Not Being at Odds with a Class: A New Way of Exploiting Neighbors for Classification

Analogical classification: A new way to deal with examples

Using Class-Based Reasoning to Improve the Accuracy of Symbolic Rules in a Hybrid Possibilistic Approach

Analogical Text Mining: Application to Arabic Text Summarization and Classification

A possibilistic classification approach to handle continuous data

Oddness-Based Classifiers for Boolean or Numerical Data

Analogy-Based Classifier for Text Morphological Disambiguation: A Comparative Study