 A novel architecture based on fuzzy cognitive maps and holonic systems for decision making in a cooperative contextAsma Maziz and Nacereddine Zarour International Journal of Information and Decision Sciences, 2019, vol. 11, issue 3, 181-208 Abstract: Ensuring consistency and good decision making is one of the most topical problems in an information system; it becomes more difficult in a cooperative context. In this paper, we propose an architecture based on fuzzy cognitive maps (FCM) tool and holonic multi-agent paradigm that enhance the decision making process in cooperative information system (CIS). Furthermore, the concept of ontolgy is used for semantically enrich our architecture. We modelled each sub-CIS by a holonic agents where everyone used a FCM for a more precise analysis of complex dynamic system decisions. This group will try to make a collective decision to solve any given distributed problem. To put our approach into practice, we considered road safety field to see how to educate people in order to reduce the fatal accidents number. Finally, we validated our proposition through experiments to show how it improves the decision making process in a cooperative context. Keywords: decision support; cooperative information systems; CIS; fuzzy cognitive maps; FCM; multi-agent systems; holonic systems; ontology; road safety. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:11:y:2019:i:3:p:181-208 Access Statistics for this article More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd |
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