Outlining a Model of an Intelligent Decision Support System Based on Multi Agents
| Autor: | Souad Ahriz, Khalifa Mansouri, Nezha Benmoussa, M. Fakhouri Amr, Elhossein Illoussamen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Value creation
lcsh:T58.5-58.64 Emerging technologies Process (engineering) Computer science business.industry lcsh:Information technology Multi-agent system value creation Big data Intelligent decision support system Management tool decision making IDSS MAS Risk analysis (engineering) lcsh:TA1-2040 lcsh:Technology (General) Optimization methods lcsh:T1-995 business lcsh:Engineering (General). Civil engineering (General) performance |
| Zdroj: | Engineering, Technology & Applied Science Research, Vol 8, Iss 3 (2018) |
| ISSN: | 1792-8036 2241-4487 |
| Popis: | Performance optimization has become a necessity for the survival of enterprises as emerging technologies continue to impact them. To achieve this goal, decision making, a complex process which depends on big data and human issues, must be effective. As enterprises are being subjected to a multi-faceted pressure, they must ensure the optimization of their performance. This article investigates an intelligent decision support system (IDSS) based on multi agent systems (MAS). Our contribution consists in developing an intelligent model with an IDSS MAS approach that can detect and evaluate changes in both the external environment and the enterprise itself. This model is an adequate management tool for optimal and sustainable performance and offers real-time analytical, prospecting and optimization methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|