基于信念语言规则的定性决策模型

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Wenjiang Li, Jun Liu, Hui Wang, A. Calzada, Rosa M. Rodríguez, L. Martínez
{"title":"基于信念语言规则的定性决策模型","authors":"Wenjiang Li, Jun Liu, Hui Wang, A. Calzada, Rosa M. Rodríguez, L. Martínez","doi":"10.1142/S0218488512400089","DOIUrl":null,"url":null,"abstract":"This paper focuses on an inference methodology based on a belief linguistic rule base (B-LRB) for qualitative decision support. It is termed 'linguistic rule-base' instead of 'fuzzy rule-base' because the use of membership functions associated with the linguistic terms are unnecessary or do not play a key role. The features of B-LRB, the ways to generate a B-LRB, and the inference procedure based on B-LRB are specified, along with an illustrate example applied to evaluate consumer trustworthiness in Internet marketing to show how it works, its applicability and feasibility.","PeriodicalId":50283,"journal":{"name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","volume":"17 1","pages":"105-118"},"PeriodicalIF":1.0000,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A qualitative decision making model based on belief linguistic rule based inference methodology\",\"authors\":\"Wenjiang Li, Jun Liu, Hui Wang, A. Calzada, Rosa M. Rodríguez, L. Martínez\",\"doi\":\"10.1142/S0218488512400089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on an inference methodology based on a belief linguistic rule base (B-LRB) for qualitative decision support. It is termed 'linguistic rule-base' instead of 'fuzzy rule-base' because the use of membership functions associated with the linguistic terms are unnecessary or do not play a key role. The features of B-LRB, the ways to generate a B-LRB, and the inference procedure based on B-LRB are specified, along with an illustrate example applied to evaluate consumer trustworthiness in Internet marketing to show how it works, its applicability and feasibility.\",\"PeriodicalId\":50283,\"journal\":{\"name\":\"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems\",\"volume\":\"17 1\",\"pages\":\"105-118\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2012-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1142/S0218488512400089\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1142/S0218488512400089","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 10

摘要

本文研究了一种基于信念语言规则库的定性决策支持推理方法。它被称为“语言规则基础”而不是“模糊规则基础”,因为与语言术语相关的隶属函数的使用是不必要的或不发挥关键作用。详细介绍了B-LRB的特点、生成B-LRB的方法以及基于B-LRB的推理过程,并通过网络营销中消费者可信度评估的实例说明了B-LRB的工作原理、适用性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A qualitative decision making model based on belief linguistic rule based inference methodology
This paper focuses on an inference methodology based on a belief linguistic rule base (B-LRB) for qualitative decision support. It is termed 'linguistic rule-base' instead of 'fuzzy rule-base' because the use of membership functions associated with the linguistic terms are unnecessary or do not play a key role. The features of B-LRB, the ways to generate a B-LRB, and the inference procedure based on B-LRB are specified, along with an illustrate example applied to evaluate consumer trustworthiness in Internet marketing to show how it works, its applicability and feasibility.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.70
自引率
0.00%
发文量
48
审稿时长
13.5 months
期刊介绍: The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信