Track: Operations Research

Abstract

In recent years, neutrosophic sets has become a subject of great interest for many researchers and has been widely applied to multi attribute decision making (MADM) problems and the single valued trapezoidal neutrosophic number (SVTN) is used to deal with uncertain information.  In this paper, a new aggregation operator namely single valued trapezoidal neutrosophic ordered weighted harmonic averaging (SVTNOWHA) operator is proposed for solving MADM problems.  The combining ideas of the Technique for Order Preference by Similarity to Ideal Situation (TOPSIS) and SVTNOWHA operator, which can be prove the accuracy of decision maker. A SVTNOWHA – TOPSIS approach for MADM problems with SVTN information is proposed. Finally, an example is provided to elaborate the proposed method. In the proposed SVTNOWHA - TOPSIS approach, the ratings of alternatives and attributes for illustrative problem are represented by the SVTN numbers. This study has developed the SVTNOWHA - TOPSIS method using the neutrosophic information in order to solve the investment company problem. In future, the proposed method may also be applied to solve other MADM problems such as enterprise selection, supplier selection, low carbon logistics service provider selection and investor selection.