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Credibility Factors Reasoning Based on Linguistic Truth-Valued Intuitionistic Fuzzy Hesitancy Degree
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文献类型:期刊论文
标题:Credibility Factors Reasoning Based on Linguistic Truth-Valued Intuitionistic Fuzzy Hesitancy Degree
作者:Liu, Xin[1];Tan, Xuewei[2];Zhang, Yunxia[3];Zou, Li[2]
机构:
[1]Liaoning Normal Univ, Sch Mat, Dalian, Peoples R China.;
[2]Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China.;
[3]Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China.;
通讯作者:Zou, L (reprint author), Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China.
年:2018
期刊名称:FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making影响因子和分区
来源信息:年:2018  卷:30  期:2-3,SI  页码范围:285-301  
卷:30
期:2-3,SI
页码范围:285-301
增刊:不确定
学科:计算机科学
收录情况:SCIE(WOS:000422709500010)  CPCI-S(WOS:000422709500010)  
所属部门:电子信息与电气工程学部
语言:外文
ISSN:1542-3980
发表时间:2018-01-01
全文链接:百度学术
人气指数:187
浏览次数:187
基金:National Natural Science Foundation of P. R. China [6177225061672127, 61673320]; Fundamental Research Funds for the Central Universities [2682017ZT12]; National Natural Science Foundation of Liaoning Province [2015020059]
关键词:Linguistic truth-valued intuitionistic fuzzy lattice; linguistic truth-valued intuitionistic fuzzy hesitancy degree; linguistic-valued truth credibility degree; credibility factors reasoning
摘要:To process fuzziness and incomparability associated with human's intelligent activities in the real world, a method of credibility factors reasoning based on linguistic truth-valued intuitionistic fuzzy hesitancy degree is proposed. Based on linguistic truth-valued intuitionistic fuzzy algebra (LTV-IFA), the concepts and properties of the linguistic-valued truth credibility degree (LVTCD) and its inverse operator are discussed. The model and algorithm of credibility factors reasoning based on linguistic truth-valued intuitionistic fuzzy hesitancy degree are given. The method can express not only positive evidence, negative evidence and hesitancy evidence at the same time, but both comparable and incomparable information as well. The reasoning method is applied to an example about car brand selection, with specific example to illustrate the soundness and validity of the method.
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