Pages that link to "Item:Q4656715"

The following pages link to Including principal component weights to improve discrimination in data envelopment analysis (Q4656715):

Displaying 21 items.

• Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis (Q319622) (← links)
• Efficiency measurement using independent component analysis and data envelopment analysis (Q531456) (← links)
• An epsilon-based measure of efficiency in DEA -- a third pole of technical efficiency (Q613489) (← links)
• On variable reductions in data envelopment analysis with an illustrative application to a gas company (Q670813) (← links)
• Improving the discrimination power and weights dispersion in the data envelopment analysis (Q733527) (← links)
• Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction (Q1038415) (← links)
• Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities (Q1303741) (← links)
• Comparison of variable selection techniques for data envelopment analysis in a retail bank (Q1751888) (← links)
• Objective identification of technological returns to scale for data envelopment analysis models (Q1754135) (← links)
• Improving discrimination in data envelopment analysis without losing information based on Renyi's entropy (Q1989807) (← links)
• Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis (Q2029388) (← links)
• Random forests and the measurement of super-efficiency in the context of free disposal hull (Q2171619) (← links)
• A new multicriteria approach for the analysis of efficiency in the Spanish olive oil sector by modelling decision maker preferences (Q2256195) (← links)
• The curse of dimensionality of decision-making units: a simple approach to increase the discriminatory power of data envelopment analysis (Q2315646) (← links)
• (Q4982390) (← links)
• Variables reduction in data envelopment analysis (Q5169453) (← links)
• The curse of dimensionality (COD), misclassified DMUs, and Bayesian DEA (Q5867457) (← links)
• A note on DEA vs principal component analysis: An improvement to Joe Zhu's approach (Q5939586) (← links)
• Portfolio optimization with asset preselection using data envelopment analysis (Q6100687) (← links)
• Selecting slacks-based data envelopment analysis models (Q6112718) (← links)
• Evaluating different methods for ranking inputs in the context of the performance assessment of decision making units: a machine learning approach (Q6551089) (← links)