Application of a Multi-Agent System for Risk Assessment with Fuzzy Background Information
Muhamediyeva D.T.1, Urokov Sh.2
1Muhamediyeva D.T.,Tashkent university of information Technologies Tashkent, Uzbekistan.
2Urokov Sh.,Tashkent university of information Technologies Tashkent, Uzbekistan.
Manuscript received on 10 July 2019 | Revised Manuscript received on 22 July 2019 | Manuscript Published on 23 August 2019 | PP: 1396-1405 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I32990789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3299.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The article offers the results of a study of various multi-agent systems on the example of a number of models and multi-agent implementations for risk assessment with fuzzy initial information. General construction methods and issues are related to their behavior, criteria for the quality of system performance that highlighted. The regularities, interrelations between the properties and parameters used when specifying a multi-agent intelligent system are defined. Developed approaches for processing complexly structured information. Algorithms for constructing a multi-agent intelligent risk assessment system have been developed.
Keywords: Artificial intelligence, hybrid intellectual systems, neuro-fuzzy models, evolutionary algorithms, multi-agent intelligent system
Scope of the Article: Artificial Intelligence