1. Intelligent Model for Evaluation Based on Expert System and Fuzzy Logic
- Author
-
Abdechafik Derkaoui, Hanane Sefraoui, Abdelaziz Elmoussaouy, Hamid Magrez, Abdelhak Ziyyat, and Khalid Salmi
- Subjects
Value (ethics) ,Evaluation system ,Mathematical model ,Computer science ,business.industry ,Cognition ,computer.software_genre ,Machine learning ,Fuzzy logic ,Value systems ,Expert system ,Artificial intelligence ,business ,computer ,Complex problems - Abstract
Most of the real world problems involving decisions are part of a complex environment, where multiple objectives and points of view have to be taken into account and the diversity of value systems are present. This observation motivated our study, which focuses on the development and/or validation of mathematical models and computer tools for complex-problems evaluation via expert knowledge. As an example of a complex situation, the evaluation of catch-up sessions is treated. Usually, in a catch-up evaluation the final score is either the average or the maximum value and the choice is in most cases unjustified. Thus, the evaluation of the objectives achievement could only be in turn deficient. Using our new intelligent evaluation system based on Knowledge Based Expert Systems (KBES) and fuzzy logic lead us to discover new models for evaluating such complex problems. The principle of this system is to reproduce the cognitive mechanisms of an expert in evaluation.
- Published
- 2020