收藏本站
收藏 | 投稿 | 手机打开
二维码
手机客户端打开本文

Development of Granular Fuzzy Relation Equations Based on a Subset of Data

Dan Wang  Xiubin Zhu  Witold Pedycz  Zhenhua Yu  Zhiwu Li  
【摘要】:Developing and optimizing fuzzy relation equations are of great relevance in system modeling, which involves analysis of numerous fuzzy rules. As each rule varies with respect to its level of influence, it is advocated that the performance of a fuzzy relation equation is strongly related to a subset of fuzzy rules obtained by removing those without significant relevance. In this study, we establish a novel framework of developing granular fuzzy relation equations that concerns the determination of an optimal subset of fuzzy rules. The subset of rules is selected by maximizing their performance of the obtained solutions. The originality of this study is conducted in the following ways.Starting with developing granular fuzzy relation equations, an interval-valued fuzzy relation is determined based on the selected subset of fuzzy rules(the subset of rules is transformed to interval-valued fuzzy sets and subsequently the interval-valued fuzzy sets are utilized to form interval-valued fuzzy relations),which can be used to represent the fuzzy relation of the entire rule base with high performance and efficiency. Then, the particle swarm optimization(PSO) is implemented to solve a multiobjective optimization problem, in which not only an optimal subset of rules is selected but also a parameter ε for specifying a level of information granularity is determined. A series of experimental studies are performed to verify the feasibility of this framework and quantify its performance. A visible improvement of particle swarm optimization(about 78.56% of the encoding mechanism of particle swarm optimization, or 90.42% of particle swarm optimization with an exploration operator) is gained over the method conducted without using the particle swarm optimization algorithm.

知网文化
【相似文献】
中国期刊全文数据库 前19条
1 张爱丽,刘秀峰,靳蕃;Chinese Remainder Codes[J];Journal of Southwest Jiaotong University;2004年01期
2 ;P_1-Compact Mappings and Leary-Schauder Boundary Condition[J];数学研究与评论;1988年03期
3 ;ABELIAN 3-DCI GROUPS OF ODD ORDER[J];益阳师专学报;1988年06期
4 Charles B.Dunham;;CHEBYSHEV APPROXIMATION BY RESTRICTED RATIONALS[J];Approximation Theory and Its Applications;1985年02期
5 李星梅;张立辉;乞建勋;张素芳;;An extended particle swarm optimization algorithm based on coarse-grained and fine-grained criteria and its application[J];Journal of Central South University of Technology;2008年01期
6 徐咏梅;钟拥军;;基于Swarm的企业战略联盟的结构演化仿真[J];科技管理研究;2007年03期
7 ;θ-PSO: a new strategy of particle swarm optimization[J];Journal of Zhejiang University(Science A:An International Applied Physics & Engineering Journal);2008年06期
8 Bo Qing XUE;;On a Certain Sum-product Estimate in Fields of Prime Order[J];Acta Mathematica Sinica(English Series);2014年11期
9 李翔;杨尚东;乞建勋;;A new support vector machine optimized by improved particle swarm optimization and its application[J];Journal of Central South University of Technology(English Edition);2006年05期
10 Stephan Ruscheweyh;Karl-JoachimWirths;;ON AN EXTREMAL PROBLEM FOR BOUNDED POLYNOMIALS[J];Approximation Theory and Its Applications;1985年03期
11 ;Particle swarm optimization for time-optimal control design[J];Journal of Control Theory and Applications;2012年03期
12 张翠萍;陈建龙;;Zip模(英文)[J];Northeastern Mathematical Journal;2008年03期
13 ;The rise of granular computing[J];重庆邮电大学学报(自然科学版);2008年03期
14 Sangwook Lee;Sangmoon Soak;Sanghoun Oh;Witold Pedrycz;Moongu Jeon;;Modified binary particle swarm optimization[J];Progress in Natural Science;2008年09期
15 ;Hybrid particle swarm optimization for solving resource-constrained FMS[J];Progress in Natural Science;2008年09期
16 ;On the Distribution of Prime Pairs[J];Engineering Sciences;2005年03期
17 陈孝德,史兰斌;PRELIMINARY STUDY ON THE DIABASE DIKE SWARM IN WUTAI-TAIHANG MOUNTAINS[J];A Monthly Journal of Science;1984年06期
18 牛银菊;;Granular分析与决策规则算法[J];东莞理工学院学报;2012年01期
19 刘贞;任玉珑;唐松林;丁亮;;基于Swarm的不同合约发电市场中多主体博弈仿真[J];管理工程学报;2007年04期
中国重要会议论文全文数据库 前10条
1 Gao Long;Yang Yi;Ren Xiaolin;Gu Haiqin;Han Qingqing;Yu Jingya;;Research on Temperature Control System Based on IPSO Optimized Fuzzy PID[A];第三十九届中国控制会议论文集(2)[C];2020年
2 ;PSO-based Parameter Estimation of Nonlinear Systems[A];第二十六届中国控制会议论文集[C];2007年
3 Jianxiang Xi;Xiaogang Yang;Yukun Qiao;Yanhong Zhang;;Output swarm stability for high-order linear swarm systems[A];第26届中国控制与决策会议论文集[C];2014年
4 ;Fast Fuzzy c-Means Clustering Algorithm Based On Genetic Algorithm[A];Proceedings of the Second Conference on Fuzzy Information & Engineering[C];2005年
5 ;Neural Networks Predictive Control Using AEPSO[A];第二十七届中国控制会议论文集[C];2008年
6 ;Parameter Identification of LuGre Friction Model in Servo System Based on Improved Particle Swarm Optimization Algorithm[A];第二十六届中国控制会议论文集[C];2007年
7 Suxin Wang;Leizhen Wang;Yongqing Li;Songzhu Zhang;Yanqin Xu;;Examples on Particle Swarm Optimization Solve Assignment Problem[A];第25届中国控制与决策会议论文集[C];2013年
8 ;A new semi-order in fuzzy number space (E~n,D) and its applications[A];模糊集理论与模糊应用专辑——中国系统工程学会模糊数学与模糊系统委员会第十届年会论文选集[C];2000年
9 XIN Ying;QIN Zhi-chang;SUN Jian-qiao;;MULTI-OBJECTIVE PARTICLE SWARM OPTIMAL DESIGN OF PD CONTROL[A];第十届动力学与控制学术会议摘要集[C];2016年
10 ;A hybrid particle swarm optimization algorithm for bi-criteria flexible job-shop scheduling problem[A];Proceedings of 2010 Chinese Control and Decision Conference[C];2010年
中国博士学位论文全文数据库 前1条
1 田丰;商业银行信贷市场的非对称信息博弈及基于Agent的SWARM仿真[D];贵州大学;2008年
中国硕士学位论文全文数据库 前1条
1 梁娟;技术创新与产业集群协同演进的Swarm仿真[D];福州大学;2006年
 快捷付款方式  订购知网充值卡  订购热线  帮助中心
  • 400-819-9993
  • 010-62982499
  • 010-62783978