A multiple criteria approach to data envelopment analysis

Article Abstract:

A Multiple Criteria Data Envelopment Analysis (MCDEA) model which can be employed to enhance discriminating power of DEA techniques and also provide more reasonable input and output weights without a priori information about the weights is proposed. In the suggested model, several different efficiency measures are defined under the same constraints. Each measure serves as criterion to be optimized. Efficiencies are then assessed under the framework of multiple objective linear programming.

Multiple criteria decision making, Models

---

A data envelopment analysis approach to measure the mutual fund performance

Article Abstract:

An evaluation of mutual fund performance is presented, using a model which applies a methodology of operational research called data envelopment analysis (DEA). This method allows mutual fund performance to be defined by indexes which can consider several inputs.

Research, Evaluation, Measurement, Investments, Mutual funds, Mutual fund industry

---

A multivariate statistical approach to reducing the number of variables in data envelopment analysis

Article Abstract:

Usage of statistical techniques to determine smallest number of variables to be used during data envelopment analysis is described.

Canada, Usage, Statistical methods

Similar abstracts:

• Abstracts: Play theatre: a new was to teach O.R. Selection and sequencing heuristics to reduce variance in gas turbine engine nozzle assemblies
• Abstracts: A cutting-plane approach to mixed 0-1 stochastic integer programs
• Abstracts: Steel Industry May Be First to Benefit from WTO Entry. Shanghainese cooking steeped in oily tradition. Guilin's river beguiles
• Abstracts: Austria: RTK survey shows expected losses. Austria: Small turnover increase for hotels. Austria: New star system for hotels
• Abstracts: Denmark: Authority upsets the SMS development. Denmark/Sweden: Orange to merge subsidiaries. Denmark: TDC to drop Vic trademark?

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.