2002Unpublished venueRequires access

Data Envelopment Analysis by Multiobjective Linear Programming Methods

Petr Fiala

Open publisher page 2 citations

Abstract

The paper presents a brief introduction to possibility of application of multicriteria approaches to performance analysis of decision making units. The Data Envelopment Analysis (DEA) is an approach of performance evaluation of decision making units by multiple input and multiple output. Solving of a multiobjective linear programming problem by the Aspiration Level Oriented Procedure (ALOP) can be used for search of the efficient frontier in DEA.

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What this paper is about

The paper presents a brief introduction to possibility of application of multicriteria approaches to performance analysis of decision making units. The Data Envelopment Analysis (DEA) is an approach of performance evaluation of decision making units by multiple input and multiple output. Solving of a multiobjective linear programming problem by the Aspiration Level Oriented Procedure (ALOP) can be used for search of the efficient frontier in DEA.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper presents a brief introduction to possibility of application of multicriteria approaches to performance analysis of decision making units. The Data Envelopment Analysis (DEA) is an approach of performance evaluation of decision making units by multiple input and multiple output. Solving of a multiobjective linear programming problem by the Aspiration Level Oriented Procedure (ALOP) can be used for search of the efficient frontier in DEA.

Key concepts: Data envelopment analysis, Linear programming, Goal programming, Multiobjective programming, Mathematical optimization, Computer science, Efficient frontier, Operations research

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