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Soft Computing

Erschienen in:

01.02.2010 | Original Paper

SAS/OWA: ordered weighted averaging in SAS optimization

verfasst von: Ali Emrouznejad

Erschienen in: Soft Computing | Ausgabe 4/2010

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Abstract

This paper explores the use of the optimization procedures in SAS/OR software with application to the ordered weight averaging (OWA) operators of decision-making units (DMUs). OWA was originally introduced by Yager (IEEE Trans Syst Man Cybern 18(1):183–190, 1988) has gained much interest among researchers, hence many applications such as in the areas of decision making, expert systems, data mining, approximate reasoning, fuzzy system and control have been proposed. On the other hand, the SAS is powerful software and it is capable of running various optimization tools such as linear and non-linear programming with all type of constraints. To facilitate the use of OWA operator by SAS users, a code was implemented. The SAS macro developed in this paper selects the criteria and alternatives from a SAS dataset and calculates a set of OWA weights. An example is given to illustrate the features of SAS/OWA software.

Vorheriger Artikel Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training

Nächster Artikel Riesz ideals in generalized pseudo effect algebras and in their unitizations

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This software is available at http://www.OWAzone.com/sasowa

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Titel: SAS/OWA: ordered weighted averaging in SAS optimization
verfasst von: Ali Emrouznejad
Publikationsdatum: 01.02.2010
Verlag: Springer-Verlag
Erschienen in: Soft Computing / Ausgabe 4/2010
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-009-0411-7

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