Literature survey reveals the intervention of peer decision maker in dictating the weights of individual decision maker during group decision making which is not accepted because of biasness. To mitigate this problem the present work includes the following objectives which are as follows:i. Introduction of Holonic approach in consensus decision making by graph theorynetwork after adjudging the pair wise consensus map.ii. To announce aggregate rank for the situations when different decision maker provides poles apart decisions to the group decision maker. In this pursuit, the authors made an attempt by introducing averaging function and proximity index based on correlation map to find the weights of the decision maker.iii. Introduction of Euclidean distance based rank aggregation technique in group decision making.

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