基于ABFCM的异构多平台混杂系统有限干预式协同决策机制

项目名称： 基于ABFCM的异构多平台混杂系统有限干预式协同决策机制

项目编号： No.61305133

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 陈军

作者单位： 西北工业大学

项目金额： 25万元

中文摘要： 本项目通过在ABFCM模型框架的基础上，改进模型的动态性和协调性，分别建立Leader平台和Follower平台决策MAS模型，再配以混杂系统协同决策的运行调度方法，来阐明异构多平台混杂系统有限干预式协同决策机制，为解决同类复杂系统的协同决策问题提供理论依据和方法参考。项目研究面向具有递阶分布结构、信息分散、通信受限以及决策过程半结构和非结构化等特征的异构多平台混杂系统，具有很好的现实意义和应用前景。项目的主要创新点包括：（1）提出了基于层次化的Follower平台动态决策MAS模型。通过对不同层次、不同类型agent的功能和协作关系的定义，使得该模型具有与外部系统良好的交互能力，能够比较真实地反映实际决策系统的"动态性"。（2）提出了基于决策效果的Leader平台有限干预决策MAS模型。通过对决策效果诊断与系统内外部状态评估，实施干预决策推理，体现了干预决策过程的"有限性"。

中文关键词： 协同决策；异构混杂系统；智能体模糊认知图；有限干预；

英文摘要： The project will expound intervent-limited cooperative decision mechanism of heterogeneous system, through builting Leader and Follower platform decision multi-agent system(MAS) models based on improvement of dynamic and coordination of the agent-based fuzzy cognitive map(ABFCM) model, and designing operation scheduling method of cooperative decision. The research will provide theory basis and method reference for solving decision problem of the similar complex system. Research of the project face to heterogeneous system with hierarchical and distributed structure, information scattered, limited communication and decision process semi-structured and unstructured characteristics. It has very good practical value and application prospect. The main innovation points include: (1) The hierarchical and dynamic decision making MAS model of Follower platform is proposed. In this model, agent functions and collaborative relationship of different levels, different types are defined in detail, So that the model has the ability to interact with the external system is good, which can truly reflect the dynamic of the actual decision system. (2) The limited intervention decision MAS model of Leader platform based on decision effectiveness is proposed. In this model, Implementation of the intervention decision reasoning is ba

英文关键词： Cooperative decision；Heterogeneous system；gent-based fuzzy cognitive map(ABFCM)；Limited intervention；