Cone ratio data envelopment analysis and multi-objective programming
A. Charnes, William White Cooper, Qiang Wei, Zhuying Huang
The University of Texas at Austin China People's Public Security University State Council of the People's Republic of China Renmin University of China
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摘要与影响
A new ‘cone ratio’ data envelopment analysis (DEA) model that substantially generalizes the Charnes-Cooper-Rhodes (CCR) model and the Charnes-Cooper-Thrall approach characterizing its efficiency classes is developed and studied. It allows for infinitely many decision-making units (DM Us) and arbitrary closed convex cones for the virtual multipliers as well as the cone of positivily of the vectors involved. Generalizations of linear programming and polar cone equalizations arc the analytical vehicles employed.
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计算机 / AIEfficiency Analysis Using DEA
Optimization and Mathematical Programming · Multi-Criteria Decision Making
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