计算机应用 ›› 2014, Vol. 34 ›› Issue (2): 501-505.

• 人工智能 • 上一篇    下一篇

基于权重的云推理算法

杨超,燕雪峰,张洁,周勇   

  1. 南京航空航天大学 计算机科学与技术学院,南京 210016
  • 收稿日期:2013-08-05 修回日期:2013-10-14 出版日期:2014-02-01 发布日期:2014-03-01
  • 通讯作者: 杨超
  • 作者简介:杨超(1989-),男,江苏南京人,硕士研究生,主要研究方向:系统建模与仿真、软件工程;燕雪峰(1975-),男,江苏泰兴人,副教授,博士,主要研究方向:分布交互仿真、计算机网络;张洁(1989-),女,江苏徐州人,硕士研究生,主要研究方向:系统建模与仿真、人工智能;周勇(1975-),男,江苏南通人,副教授,博士,主要研究方向:人工智能、专家系统、智能推理。
  • 基金资助:
    国家自然科学基金资助项目;国防科工局十二五重大基础科研项目

Weight-based cloud reasoning algorithm

YANG Chao,YAN Xuefeng,ZHANG Jie,ZHOU Yong   

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China
  • Received:2013-08-05 Revised:2013-10-14 Online:2014-02-01 Published:2014-03-01
  • Contact: YANG Chao

摘要: 虽然正态云模型具有普适性,但它在描述论域内单调上升或下降的概念时存在一些局限性,同时由于现有的云推理算法存在多条件下人为主观因素影响大、运算量大等问题,为此提出一种新的指数云模型来描述单调概念,并基于此提出一种基于权重的云推理算法。该算法将多条件发生器拆分为多个一维发生器,先通过层次分析法确定各个条件的属性权重,再采取加权平均法将单条件单规则发生器输出的结果精确化为一个具体的输出值。将基于权重的云推理算法用于鱼雷规避仿真系统中,并与模糊推理结果进行比较,验证了该算法的有效性和实用性。

关键词: 云模型, 指数云, 权重, 云推理, 层次分析法, 规则发生器

Abstract: Although the normal cloud model is universally used, it faces some difficulties when describing some monotonic rise/fall conceptions. This model also has big subjective influence under multiple conditions and large computation consumption. To overcome these shortcomings, a new kind of exponential cloud model was provided along with a weight based cloud reasoning algorithm. By splitting the multi-condition generator to several single-condition generators, the algorithm firstly used Analytic Hierarchy Process (AHP) method to get weight of each property, and then used them to calculate weighted average of single-condition generator output to quantitfy value. The validation and effectiveness of this method is checked through a comparison between fuzzy reasoning and stimulation of torpedo avoid system.

Key words: cloud model, exponential cloud, weight, cloud reasoning, Analytic Hierarchy Process (AHP), rule generator

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