标题:Some single-valued neutrosophic power muirhead mean operators and their application to group decision making
作者:Liu, Peide; Khan, Qaisar; Mahmood, Tahir
作者机构:[Liu, Peide] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China.; [Khan, Qaisar; Mahmood, Tahir] Int I 更多
通讯作者:Liu, PD;Liu, Peide
通讯作者地址:[Liu, PD]Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China.
来源:JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
出版年:2019
卷:37
期:2
页码:2515-2537
DOI:10.3233/JIFS-182774
关键词:Power average; muirhead mean operator; single valued neutrosophic sets;; MAGDM
摘要:The power average (PA) has the property that it can eliminate the influence of inconvenient data and the Muirhead mean (MM) operator takes the correlations among the input arguments, and the single valued neutrosophic (SVN) set is a better tool to deal with incomplete, inconsistent and indeterminate information than fuzzy set (FS) and intuitionistic FS (IFS). Thus the main goal of this article is to develop a few new operators for aggregating SVN information and apply them to multiple-attribute group decision making (MAGDM). To fully utilize the advantages of MM operator and PA operator, we develop the single-valued neutrosophic power MM (SVNPMM) operator, weighted single-valued neutrosophic power MM (WSVNPMM) operator, single-valued neutrosophic power dual MM (SVNPDMM) operator and weighted single-valued neutrosophic power dual MM (WSVNPDMM) operator, and discuss their essential properties, particular cases about the parameter vector. The obvious advantages of the proposed operators are that it can eliminate the influence of inconvenient data and can take the correlation among input data at the same time. Moreover, based on the developed aggregation operators, a novel technique to MAGDM problem is proposed. Lastly, a numerical example is provided to show the efficiency and realism of the proposed technique.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072204848&doi=10.3233%2fJIFS-182774&partnerID=40&md5=122080fd62309e3020ea2378631a2047
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