Pascale Zaraté

A co-operative intelligent decision support system for boilers combustion management based on a distributed architecture

The management system of the boilers combustion is one of the most critical systems for the good functioning of GLZ-I oil plant. It has a high impact on the methods of cogitation and apprehension of various problems related to maintenance. It is a multiparticipant process with high level of interactivity. In this work we consider the paradigm of distributed decision-support systems where several decision-makers must reach a common decision. As a solution we propose an integrated framework based on a distributed architecture where each decision-maker uses a specific co-operative intelligent decision support system. The support system is viewed as a set of computer-based tools integrating expert knowledge and using collaboration technologies that help decision-makers and provide them with interactive capabilities to enhance their understanding and information base about options through use of models and data processing.

A Cooperative Intelligent Decision Support System

Traditional decision support systems give not enough possibilities of intervention to the user. In complex situations, decision is not structured and it becomes primordial to design intelligent and cooperative systems allowing a joint resolution of problem and dynamic sharing of the tasks between the user and the system according to problems to be solved and an appropriate cooperation mode. We propose, in this paper, a cooperative architecture for intelligent decision support system. The framework embeds expert knowledge within the DSS to provide intelligent decision support, and implements the intelligent DSS using collaboration technologies by putting the decision maker effectively in the loop of such DSS. To this end, besides the conceptual model of the domain, we used a structure based on task-method paradigm for task conceptual modelling. Applicability and relevance of this system are illustrated through a case study where the system and the user cooperate in decision problem solving which consists of identifying boiler defects, diagnosing and suggesting actions of cure