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In this paper, by formulating route evaluation as a multi-criteria decision making problem including uncertainties, an integrated route evaluation approach based on type-2 fuzzy sets is proposed.
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In general, multi-criteria group decision making problem includes uncertain and imprecise data and information.
Supplier selection is one of the most important decision making problems including both qualitative and quantitative factors to identify suppliers with the highest potential for meeting a firm's needs consistently and at an acceptable cost.
It is argued that the selection of a facility location is a multi-criteria decision-making problem including both quantitative and qualitative criteria.
Besides, supplier selection process is a multi-criteria decision making problem, in which both qualitative and quantitative factors are included.
Interpretation should relate analytical findings to the existing body of knowledge as well as industry practices and include reflection on certain business objectives, decision making, problem solving, etc.
Recommendation problem is a multi-criteria decision making problem.
Pareto optimal solutions of the multi-objective decision making problem are obtained.
Distributed optimization, based on a decomposition of the entire optimization problem, has been applied to many complex decision making problems in process systems engineering, including nonlinear model predictive control.
These studies, however, only address centralized decision making problems.
Therefore, decision making regarding any technology can present serious problems for healthcare centers with multi criteria decision making problems (MCDM).
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