Entropy based multi criteria decision making approach under neutrosophic environment

This paper discusses the MCDM problems under neutrosophic environment and the attribute weight is computed based on their corresponding entropy method. The decision making problems whenever the whole data supplied via the decision makers is presented as a trapezoidal neutrosophic decision matrix with all elements identified by a trapezoidal neutrosophic (TN) numbers as well as this details relating to the attribute weights are not known. By using generalized a trapezoidal neutrosophic generalized weighted harmonic averaging (TNGWHA) operator has been calculated for aggregation of all individual a trapezoidal neutrosophic decision matrix offered by decision makers into a collective trapezoidal neutrosophic decision matrix. The score function has been used in the calculation of the score of each attribute value and the entropy attribute weight information based on a trapezoidal neutrosophic numbers and the approach for neutrosophic MCDM problem has been presented.