Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran

Abstract This paper is based on a project of developing small and medium-sized enterprises in South Khorasan, Iran. A combination multiple criteria decision making robust multi-objective optimization used for prioritizing industrial clusters optimally assigning governmental funds. First, evaluating are weighted using the best-worst method prioritized VIKOR method. Second, funding assigned to highest priority cluster mathematical programming. An innovative applied identify solution Pareto-front with efficiency. In case study from computational results show that international market share attraction most important criterion age least development clusters. The defined barberry jujube fruits determined be first-ranked cluster. Most total available budget this action plans marketing trade investment financial planning. proposed methodology thus successfully aided makers plan their work regarding We believe can as general tool help managers better assign develop