Inès Saad

A Mediating Algorithm for Multicriteria Collaborative Knowledge Classification

In this paper we present a mediating algorithm to provide a conflict resolution in the knowledge management system K-DSS which is a decision support system for identifying crucial knowledge. In the knowledge base of K-DSS, inconstancies can appear because of conflicts between decision makers evolved in the process of identification of crucial knowledge. Our objective is to solve conflicts by the mean of argumentative agents representing decision makers. Multiagent theory is suitable to our context due to the autonomous character of agents able to represent faithfully each human actor evolved in the process of identification of crucial knowledge.

An approach to assess knowledge cruciality for industrial project

In this paper we present novel techniques that play an important role in identifying and evaluating crucial knowledge. We have developed an entire method for the identification and the evaluation that consists of three phases which we describe briefly in this paper. We present in detail the first phase that construct the set of knowledge of reference using GAMETH® framework. We also present a model for evaluating knowledge in respect to a convenient subset of criteria. The method has been applied and validated in a car company.

Aggregation Procedure Based on Majority Principle for Collective Identification of Firm’s Crucial Knowledge

It is very important to identify, preserve, and transfer knowledge to those who need it within firm. However, the identification of knowledge and especially tacit knowledge is a complex process because knowledge cannot be measured quantitatively. In this paper we present an approach for inducing a set of collective decision rules representing a generalized description of the preferential information of a group of decision makers involved in a multicriteria classification problem to identify crucial knowledge to be capitalized.