Multicriteria Ranking Using Weights Which Minimize the Score Range

Chris Tofallis ()
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Chris Tofallis: The Business School, University of Hertfordshire

A chapter in New Developments in Multiple Objective and Goal Programming, 2010, pp 133-140 from Springer

Abstract: Abstract Various schemes have been proposed for generating a set of non-subjective weights when aggregating multiple criteria for the purposes of ranking or selecting alternatives. The maximin approach chooses the weights which maximise the lowest score (assuming there is an upper bound to scores). This is equivalent to finding the weights which minimize the maximum deviation, or range, between the worst and best scores (minimax). At first glance this seems to be an equitable way of apportioning weight, and the Rawlsian theory of justice has been cited in support.

Keywords: Data Envelopment Analysis; Efficiency Score; Difference Principle; Common Weight; Maximin Rule (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-10354-4_9

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