A new approach for multiple attribute group decision-making based on interval neutrosophic sets

The performance of interval neutrosophic sets (INSs) aggregated by resent operator is sensitive to special value (e.g. zero value). This paper proposes a novel algorithm for aggregating INSs and applies it to multiple attribute group decision-making. First, INSs are projected as point sets of a 2D space, thus the interval numbers of INSs and the 2D space points correspond one-to-one. Second, the plant growth simulation algorithm is employed to aggregate each point set and calculate the optimal rally points of each point set, therefore, the collective matrix is established by the optimal rally point set. Third, the proposed method achieved in the implementation of multiple attribute group decision-making with interval neutrosophic information. The simulation shows that the proposed aggregation method is insensitive to special value and achieve better performance than compared approach.