Multi-attribute selection using discrete frontier profiling

Multi-attribute selection using discrete frontier profiling
Document type
Working Paper
Author(s)
Tofallis, Chris
Publisher
University of Hertfordshire
Date of publication
1 August 1997
Series
The University of Hertfordshire Business School Working Papers
Subject(s)
Trends: economic, social and technology trends affecting business
Collection
Business and management
Material type
Reports

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Recent years have seen a great deal of research in the area of relative efficiency measurement in which the 'alternatives' being compared use a number of inputs to generate multiple outputs. This paper investigates the possibility of employing such techniques to assist with multi-attribute selection on the grounds that outputs may be viewed as criteria to be maximized and inputs as criteria to be minimized. The paper aims to find a bridge linking the fields of multi-criteria decision analysis (MCDA) and efficiency analysis.

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