dea with missing data: an interval data assignment approach

نویسندگان

reza kazemi matin

roza azizi

چکیده

in the classical data envelopment analysis (dea) models, inputs and outputs are assumed as known variables, and these models cannot deal with unknown amounts of variables directly. in recent years, there are few researches on handling missing data. this paper suggests a new interval based approach to apply missing data, which is the modified version of kousmanen (2009) approach. first, the proposed approach suggests using an acceptable range for missing inputs and outputs, which is determined by the decision maker (dm). then, applying the least favourable bounds of missing data along with using the proposed range is suggested in estimating the production frontier.  a data set is used to illustrate the approach.

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عنوان ژورنال:
journal of optimization in industrial engineering

ناشر: qiau

ISSN 2251-9904

دوره 8

شماره 17 2015

میزبانی شده توسط پلتفرم ابری doprax.com

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