SAS/OWA: Ordered weighted averaging in SAS optimization

4Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

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. © Springer-Verlag 2009.

Cite

CITATION STYLE

APA

Emrouznejad, A. (2010). SAS/OWA: Ordered weighted averaging in SAS optimization. Soft Computing, 14(4), 379–386. https://doi.org/10.1007/s00500-009-0411-7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free