基于多智能体环境的多准则群体决策支持系统设计建模

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
Amel Kahina Nemdili, D. Hamdadou
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引用次数: 1

摘要

在本研究中,研究的问题是商业智能,更确切地说,是协同决策。作者提出了一个完整的多智能体活动环境模型,用于设计一个多准则群体决策支持系统,以解决领土规划中的空间定位问题。该模型利用地理信息系统与多智能体系统之间的耦合,并赋予基于让步的协商协议,使其能够达成满足区域行为体的共识,称为ActiveGDSS (Active Group Decision Support System)。其主要目的是在系统建模中集成上下文激活原理,使环境成为一个活动实体。上下文激活的主要优点是在执行方面的效率提高,更好的灵活性和代理行为的重用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of an active multi-agent environment for the design of a multi-criteria group decision support system
In the present study, the research problem concerns business intelligence, more precisely collaborative decision-making. The authors propose a complete modeling of a multi-agent active environment for the design of a multicriteria group decision support system dedicated to the spatial problem of localization in territory planning. The proposed model is called ActiveGDSS (Active Group Decision Support System) which uses a coupling between a geographic information system and a multi agents system and is endowed by a new negotiation protocol based on the concession allowing reaching to a consensus which satisfies the territorial actors. The main purpose is to integrate the principle of contextual activation in the modeling of the system which makes the environment an active entity. The main advantages of contextual activation are efficiency gain in terms of execution, better flexibility and reuse of agent behaviors.
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来源期刊
Multiagent and Grid Systems
Multiagent and Grid Systems COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
1.50
自引率
0.00%
发文量
13
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