Abstract
Several unique features of data envelopment analysis (DEA) are incorporated into discriminant analysis (DA). Such a combined use of the two approaches is referred to as “DEA–DA” (Eur. J. Operat. Res. 1999 (115) 564). Sueyoshi (Eur. J. Operat. Res. 2001 (131) 324) has recently extended DEA–DA in a manner that it can deal with a negative value in data. The new version is referred to as “Extended DEA–DA”. An important feature of extended DEA–DA is that it can estimate weights of a linear discriminant function by minimizing the total deviation of misclassified observations. As an extension of his research, this research proposes a new type of mixed integer programming formulations that provide these weight estimates by minimizing the total number of misclassified observations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
