Intelligent Group Decision Support System for Cooperative Works Based on Multi-Agent System

2006 ◽  
Author(s):  
Lizhen Liu ◽  
Li Qian ◽  
Hantao Song
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Group Decision Support ◽  
Multi Agent System ◽  
Group Decision Support System ◽  
Agent System ◽  
Multi Agent

Construction of Industrial Strategy Model Based on the Multi-Agent

2013 ◽  
Vol 765-767 ◽  
pp. 3277-3281
Author(s):  
Ya Dong Zhu
Keyword(s):  
Decision Support ◽  
Strategic Management ◽  
Support System ◽  
Group Decision ◽  
Intelligent Agent ◽  
Group Decision Support ◽  
Multi Agent System ◽  
Group Decision Support System ◽  
Strategy Model ◽  
Multi Agent

In this paper, considering the complexity of the industrial strategy and uncertainty of the environment, Multi-agent system based on intelligent agent is put forward, and the model to be used in industrial strategic management and group decision support system is constructed.

Modeling of an active multi-agent environment for the design of a multi-criteria group decision support system

2021 ◽  
Vol 17 (1) ◽  
pp. 83-111
Author(s):  
Amel Kahina Nemdili ◽  
Djamila Hamdadou
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Research Problem ◽  
Group Decision Support ◽  
Spatial Problem ◽  
Efficiency Gain ◽  
Group Decision Support System ◽  
Multi Agent

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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