A Multi-Criteria Decision-Making Method Based on the Improved Single-Valued Neutrosophic Weighted Geometric Operator Academic Article

abstract

• The aggregation operator is one of the most common techniques to solve multi-criteria decision-making (MCDM) problems. The aim of this paper is to propose an MCDM method based on the improved single-valued neutrosophic weighted geometric (ISVNWG) operator. First, the defects of several existing single-valued neutrosophic weighted geometric aggregation operators in terms of producing uncertain results in some special cases are analyzed. Second, an ISVNWG operator is proposed to avoid the defects of existing operators. Further, the properties of the proposed ISVNWG operator, including idempotency, boundedness, monotonicity, and commutativity, are discussed. Finally, a single-valued neutrosophic MCDM method based on the developed ISVNWG operator is proposed to overcome the defects of existing MCDM methods based on existing operators. Application examples demonstrate that our proposed operator and corresponding MCDM method are effective and rational for avoiding uncertain results in some special cases.

authors

• Tian, Chao

published proceedings

• MATHEMATICS

author list (cited authors)

• Tian, C., & Peng, J. J.

citation count

• 2

complete list of authors

• Tian, Chao||Peng, Juan Juan

publication date

• June 2020

publisher

• MDPI  Publisher

published in

• MATHEMATICS  Journal

keywords

• Improved Single-valued Neutrosophic Geometric Aggregation Operator
• Multi-criteria Decision-making (mcdm)
• Neutrosophic Numbers (svnns)
• Single-valued

Digital Object Identifier (DOI)

• 10.3390/math8071051

start page

• 1051

end page

• 1051

volume

• 8

issue

• 7

URL

• http://dx.doi.org/10.3390/math8071051