Multiple Attribute Decision-Making Method under Hesitant Single Valued Neutrosophic Uncertain Linguistic Environment

نویسنده

  • Jun Ye
چکیده

Motivated by the idea of single valued neutrosophic uncertain linguistic sets (SVNULSs) and hesitant fuzzy sets (HFSs), in this article we combine SVNULSs with HFSs to present the idea of hesitant single valued neutrosophic uncertain linguistic sets (HSVNULSs), hesitant single valued neutrosophic uncertain linguistic elements (HSVNULEs) and defined some basic operational laws of HSVNULEs. We also presented the score, accuracy and certainty functions for HSVUNLEs. Then, based on the operational laws for HSVNULEs we presented hesitant single valued neutrosophic uncertain linguistic weighted average (HSVNULWA) operator and hesitant single valued neutrosophic uncertain linguistic weighted geometric average (HSVNULWGA) operator to aggregate the hesitant single valued neutrosophic uncertain linguistic information. Furthermore, some necessary assets of the two operators are scrutinized. Based on HSVNULWA and HSVNULWGA operators we defined a multiple criteria decision-making method to switch multiple criteria decision making problems, in which the criterion values with respect to alternatives take the form of HSVNULEs, under a HSVNULs environment. Finally, a numerical example about investment alternatives is specified to show the efficiency of the developed method.

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تاریخ انتشار 2016