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题名Bayesian inference of Kansei knowledge by using variable precision rough sets
作者
发表日期2009-02-01
发表期刊Journal of Computational Information Systems   影响因子和分区
语种英语
原始文献类型Journal article (JA)
关键词Bayesian networks Conceptual design Decision making Expert systems Inference engines Knowledge representation Precision engineering Bayes networks Bayesian inference Bayesian rough sets Kansei Engineering Knowledge rules Likert scale New approaches Variable precision rough sets
摘要To discover uncertain and imprecision Kansei knowledge, a new approach on Kansei knowledge acquisition by using Bayesian Rough Sets model was introduced. Firstly, the knowledge rules were described through the Bayes network based on the general mapping framework of the Kansei knowledge representation. And then, the corresponding parameters of the Kansei knowledge rules were defined by variable precision rough set and the rules' reliability was calculated subsequently. So the Kansei knowledge, which used to support the conceptual design by the Kansei knowledge representation, reasoning and decision making, was further extracted and obtained effectively. Finally, an application about the form features of the cars' front view was presented. Copyright © 2009 Binary Information Press.
出版者Binary Information Press
ISSN1553-9105
卷号5期号:1页码:35-40
页数34
收录类别EI ; SCOPUS
EI入藏号20092212098700
EI主题词Rough set theory
URL查看原文
SCOPUSEID2-s2.0-65649083107
通讯作者地址[Shi, Fuqian]Department of Computer and Information Management,Wenzhou Medical College,China
Scopus学科分类Information Systems;Computer Science Applications
文献类型期刊论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/34916
专题第一临床医学院(信息与工程学院)、附属第一医院_计算机与信息管理系
通讯作者Shi, Fuqian
作者单位
1.Department of Computer and Information Management,Wenzhou Medical College,China;
2.College of Computer Science and Technology,Zhejiang University,China
第一作者单位第一临床医学院(信息与工程学院)、附属第一医院_计算机与信息管理系
通讯作者单位第一临床医学院(信息与工程学院)、附属第一医院_计算机与信息管理系
第一作者的第一单位第一临床医学院(信息与工程学院)、附属第一医院_计算机与信息管理系
推荐引用方式
GB/T 7714
Shi, Fuqian,Sun, Shouqian,Xu, Jiang. Bayesian inference of Kansei knowledge by using variable precision rough sets[J]. Journal of Computational Information Systems,2009,5(1):35-40.
APA Shi, Fuqian, Sun, Shouqian, & Xu, Jiang. (2009). Bayesian inference of Kansei knowledge by using variable precision rough sets. Journal of Computational Information Systems, 5(1), 35-40.
MLA Shi, Fuqian,et al."Bayesian inference of Kansei knowledge by using variable precision rough sets".Journal of Computational Information Systems 5.1(2009):35-40.

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