2012•Computational Mathematics and Mathematical PhysicsRequires access

Algorithmic decision rule using ordinal criteria importance coefficients with a first ordinal metric scale

A. P. Nelyubin, V. V. Podinovski

Open publisher page 4 citations

Abstract

An exact computational method is proposed for the preferability comparison of various solution variants in multicriteria problems with importance-ordered criteria using a common scale along which the growth of preferences slows down.

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What this paper is about

An exact computational method is proposed for the preferability comparison of various solution variants in multicriteria problems with importance-ordered criteria using a common scale along which the growth of preferences slows down.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An exact computational method is proposed for the preferability comparison of various solution variants in multicriteria problems with importance-ordered criteria using a common scale along which the growth of preferences slows down.

Key concepts: Ordinal Scale, Ordinal optimization, Ordinal data, Mathematics, Metric (unit), Scale (ratio), Ordinal regression, Mathematical optimization

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