The proposed methodology is based on efficient clustering technique for facilitating the decision-maker in the analysis of the solutions of multi-objective problems . Choosing a solution for system implementation from the Pareto-optimal set can be a difficult task, generally because Pareto-optimal sets can be extremely large or even contain an infinite number of solutions. The proposed technique provides the decision-maker a smaller set of optimal tradeoffs.

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Multi-objective Problems Pareto-optimal Sets Clustering Technique