[1]汤龙,杨春燕.复杂基元相关网下的传导变换[J].智能系统学报编辑部,2016,(1):104-110.[doi:10.11992/tis.201507054]
 TANG Long,YANG Chunyan.Conductive transformation under complicatedbasic-element correlative network[J].CAAI Transactions on Intelligent Systems,2016,(1):104-110.[doi:10.11992/tis.201507054]
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复杂基元相关网下的传导变换(/HTML)
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《智能系统学报》编辑部[ISSN:1673-4785/CN:23-1538/TP]

卷:
期数:
2016年1期
页码:
104-110
栏目:
出版日期:
2016-02-25

文章信息/Info

Title:
Conductive transformation under complicatedbasic-element correlative network
作者:
汤龙 杨春燕
广东工业大学可拓学与创新方法研究所, 广东广州 510006
Author(s):
TANG Long YANG Chunyan
Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China
关键词:
复杂系统可拓学基元相关网传导变换矛盾问题相关矩阵相关函数
Keywords:
complex systemExtenicsbasic-elementcorrelative networkconductive transformationcontradictory problemcorrelative matrixcorrelative function
分类号:
TP18
DOI:
10.11992/tis.201507054
摘要:
由于复杂系统中相关性的存在,在处理其中的矛盾问题时,需关注相关性和传导变换。以复杂系统为背景,结合可拓学中的基元理论,研究基于不规则基元相关关系的传导变换理论,提出了基元相关矩阵和基元相关函数的概念,并在此基础上建立了复杂基元相关网下的传导推理规则以及相应的传导效应的计算模型。以企业的产品供销活动为例验证了所建立理论的有效性。这些成果可为解决复杂系统中的矛盾问题提供理论依据和可操作的方法,也为进一步研究利用计算机辅助进行复杂矛盾问题的策略生成作好基础性工作。
Abstract:
Complex systems are characterized by various relationships, among which correlations and conductive transformations should be considered while processing contradictory problems. Using the basic-element theory, this study investigates irregular basic-element correlative relationship-based conductive transformation theories by taking the complex system as a background. A basic-element correlative matrix and basic-element correlative function are proposed. We also establish conductive reasoning rules and conductive effect models for complicated basic-element correlative networks. We then employ supply and marketing activities for commercial productions to verify the validity of the proposed theories. These concepts can provide a theoretical basis and operable approaches for processing contradictory problems in complex systems and pave the way for generating a strategy for solving complex problems with the assistance of computers.

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备注/Memo

备注/Memo:
收稿日期:2015-07-23;改回日期:。
基金项目:国家自然科学基金资助项目(61503085,61273306);广东省教育厅"创新强校工程"资助项目(261555116).
作者简介:汤龙,男,1985年生,讲师,主要研究方向为可拓策略生成与可拓数据挖掘,目前主持国家自然科学基金项目1项、广东省教育厅项目1项,发表学术论文7篇;杨春燕,女,1964年生,研究员,中国人工智能学会可拓学专业委员会主任,中国人工智能学会常务理事,广东省未来预测研究会副理事长。主要研究方向为知识管理、决策科学、可拓学、创新方法、数据挖掘、智能系统。主持国家自然科学基金项目3项和广东省自然科学基金项目3项。获广东省科学技术奖二等奖1项、三等奖2项,中国人工智能学会首届"吴文俊人工智能科学技术奖创新奖"一等奖。发表学术论文80余篇,出版专著9部。
通讯作者:汤龙.E-mail:tanglong@gdut.edu.cn.
更新日期/Last Update: 1900-01-01