Some Single Valued Neutrosophic Power Muirhead Mean Operators And Their Application To Group Decision Making

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Some single-valued neutrosophic power muirhead mean operators and their application to group decision making

Some single-valued neutrosophic power muirhead mean operators and their application to group decision making
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Publisher : Infinite Study
Total Pages : 23
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Book Synopsis Some single-valued neutrosophic power muirhead mean operators and their application to group decision making by : Peide Liu

Download or read book Some single-valued neutrosophic power muirhead mean operators and their application to group decision making written by Peide Liu and published by Infinite Study. This book was released on with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 ofMMoperator 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.


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