Research On The Key Technology Of Distributed Intelligent Group Decision Supported System Based On Multi-Agent

With the development of social economy and advancement of technology, every walk of life faces an increasingly complicated and variation environment. Decision-problem becomes much more complicated, especially for the decision-problem of intricate system with judge index system of multi-hierarchy, multi-attribute and multi-object, it involves multifold professional acknowledge and has a mass of qualitative, morbid structure information which depends on mass wisdom to deal with. So the research on distributed intelligent group decision becomes to be an important task in DSS.The key technologies of distributed intelligent group decision supported system (DIGDSS) based on multi-agent are research in this paper; the main contents and results are as fellow:(1) Advancing group decision model with multi-hierarchy, multi-attribute and multi-object. Uses "Three Dimension Structure System" to describe the structure of GDSS. The decision process of the system is advanced, and establishes the function structural model of the system.(2) A new ascertaining weight method of weight self-learning based on Bayes Net are put forward, and the problem of difficulty in ascertaining weight and self-learning of judge index system of multi-hierarchy, multi-attribute and multi-object is solved. A grouping together method with exponential function transforms is advanced, the standardized value by using this method can better express the degree that attribute influences the project decision-making.(3) Ameliorating the C2GS2 model of DEA, add relax vector to the model to analysis the influence of input factor to the project. Firstly judges whether the project is in the producing possible collect, then estimates that attribute influence the evaluating result of the project, and according to this to adjust the project to make it better. This paper presents the algorithmic process of evaluating and adjusting project, in the end by applying an example validates the practicability of the model.(4) Aim at the complication of modeling multi-agent system, this paper use UML language to model the system. The frame structure of DIGDSS based onmulti-agent is designed, moreover the software structure based on B/S and J2EE, realizing process are put forward.(5) The structural multi-agent communicating body is designed and developed in this paper, and defines it's interface. Under the KQML criterion, combined the developing characteristics of logistics decision supported system, the agent primitive set of the system based on Java is designed. The communicating mode of the system base on J2EE technology is advanced, and uses NetDDE, multi-thread technology to realize the communication among multi-agent.(6) Negotiating mechanism of multi-agent based on game theory is brought forward. Based on import the Bilateral Self-Value, the composing arithmetic of negotiating alliance of multi-agent system is presented, and import Nash concept to verify stability of negotiating alliance. It realizes the negotiation of system under J2EE frame.(7) Adopts Java as developing language, Jbuilder7.0 as developing platform to establish the framework of logistics system intelligent group decision-making supported system based on Multi-agent, realizes the communicating, negotiating and so on basal function, and applies it in logistics decision problem, it settles the basic of realizing the logistics distributed intelligent group decision.