The present work introduces the Knowledge Harnessing, by showing its theoretical
foundations as well as a three-way decision model to deal with it. The problem poses how to …

Abstract The Transferable Belief Model is a general framework for managing imprecise and
uncertain information using belief functions. In this framework, the discounting operation …

An important problem in the management of knowledge-based systems is the handling of
inconsistency. Inconsistency may appear because the knowledge may come from different …

A knowledge representation problem can be sometimes viewed as an element of a family of
problems, with parameters corresponding to possible assumptions about the domain under …

This article discusses various issues surrounding the general debate on knowledge
representation methods and argues in favor of the idea that while many methods are …

The adaptation of a priori knowledge to new relevant facts and the use of the so enriched
knowledge base for inference and response is the subject of this paper. Here knowledge …

We define the very rich language of composed conditionals on a three‐valued logic and use
this language as the communication tool between man and machine. Communication takes …

Most operators for merging multiple knowledge bases (where each is a set of formulae) aim
to produce a knowledge base as output that best reflects the information available in the …

In this paper, we propose some new approaches for attribute reduction in covering decision
systems from the viewpoint of information theory. Firstly, we introduce information entropy …

In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the
reasoning leads to more efficient processes. A point of view that provides valuable insights …