全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
中外文文献  中文文献  外文文献
作者:Zeshui Xu , Wei Zhou
来源:[J].Fuzzy Optimization and Decision Making(IF 1.488), 2017, Vol.16 (4), pp.481-503Springer
摘要:As a generalized fuzzy number, the hesitant fuzzy element (HFE) has been receiving increased attention and has recently become a popular topic. However, we find that the occurring probabilities of the possible values in the HFE are equal, which is obviously impractical. Cons...
作者:Xunjie Gou , Zeshui Xu , Huchang Liao
来源:[J].Soft Computing(IF 1.124), 2017, Vol.21 (21), pp.6515-6529Springer
摘要:In recent decades, different extensional forms of fuzzy sets have been developed. However, these multitudinous fuzzy sets are unable to deal with quantitative information better. Motivated by fuzzy linguistic approach and hesitant fuzzy sets, the hesitant fuzzy linguistic term se...
作者:Xunjie Gou , Zeshui Xu
来源:[J].Fuzzy Optimization and Decision Making(IF 1.488), 2017, Vol.16 (2), pp.183-204Springer
摘要:Intuitionistic fuzzy numbers (IFNs) have already been applied to many fields, especially in multi-attribute decision making (MADM). Based on the basic operational laws and information aggregation methods of IFNs, MADM with intuitionistic fuzzy information has become more and more...
作者:Jie Gao , Zeshui Xu , Huchang Liao
来源:[J].International Journal of Fuzzy Systems(IF 1.506), 2017, Vol.19 (5), pp.1261-1278Springer
摘要:According to the characteristics of emergency decision-making in crisis management, this paper proposes a dynamic decision-making method using the hesitant probabilistic fuzzy set to deal with the inadequate information, uncertainty and dynamic trends.This method is suitable for ...
作者:... Shousheng Liu , Zeshui Xu , Qian Lei
来源:[J].International Journal of Fuzzy Systems(IF 1.506), 2017, Vol.19 (2), pp.273-284Springer
摘要:Intuitionistic fuzzy set (IFS), introduced by Atanassov (1986), is the generalization of Zadeh’s fuzzy set. The basic element of IFS is an ordered pair called intuitionistic fuzzy number, based on which, Lei and Xu originally introduced the intuitionistic fuzzy function (IFF...
作者:Zeshui Xu , Hai Wang
来源:[J].Soft Computing(IF 1.124), 2017, Vol.21 (12), pp.3439-3459Springer
摘要:As a powerful and efficient tool in expressing the indeterminate and fuzzy information, the hesitant fuzzy set (HFS) has shown its increasing importance. It was first proposed by Torra and Narukawa, permitting the membership degree of an element to a set of several possible value...
作者:Meimei Xia , Zeshui Xu
来源:[J].International Journal of Machine Learning and Cybernetics, 2017, Vol.8 (2), pp.489-495Springer
摘要:Due to the advantages in dealing with fuzziness and uncertainty, hesitant fuzzy sets have attracted many attentions of researchers. To enlarge the range of their application, it is necessary to give an intensive study about the basic operations and properties of hesitant fuzzy se...
作者:B. Farhadinia , Zeshui Xu
来源:[J].Cognitive Computation(IF 0.867), 2017, Vol.9 (1), pp.81-94Springer
摘要:Abstract(#br)Hesitant fuzzy set (HFS) as an effective tool to reflect human’s hesitancy has received great attention in recent years. The importance weights of possible values in hesitant fuzzy elements (HFEs), which are the basic units of a HFS, have not been taken into acc...
作者:Zhibin Wu , Jiuping Xu , Zeshui Xu
来源:[J].Annals of Operations Research(IF 1.029), 2016, Vol.247 (2), pp.735-757Springer
摘要:Abstract(#br)In recent years, to adapt rapidly to changing market environments and outdo the competition more companies and organizations have adopted lean management practices. One problem that has arisen in these companies and organizations is the need to develop methods t...
作者:Zeshui Xu , Hai Wang
来源:[J].Information Fusion(IF 2.262), 2017, Vol.34, pp.43-48Elsevier
摘要:Abstract(#br)The virtual linguistic model is a good technique for linguistic decision making and has been widely used in applications including linguistic information fusion. The main purpose of this paper is to define and specify the syntax and semantics of virtual linguistic te...

我们正在为您处理中,这可能需要一些时间,请稍等。

资源合作:cnki.scholar@cnki.net, +86-10-82896619   意见反馈:scholar@cnki.net

×