Data envelopment analysis assessment machine

Quanling Wei, Hong Yan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This word extends the DEA method to a large number DMU evaluation process, called "DEA assessment machine", for evaluating consecutive data. We identify the intersection form of the production possibility set for a given set of DMUs, which is called "training set". The process can then easily assess a newly coming DMU for its different properties, such as technical efficiency, returns to scales and evidence of congestion, by simply checking on a set of linear inequalities. It thus provides an efficient and effective method for dealing with large number of data and can be regarded as a complementary approach for data mining.
Original languageEnglish
Title of host publicationProceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops
Pages808-812
Number of pages5
Publication statusPublished - 1 Dec 2006
Event6th IEEE International Conference on Data Mining - Workshops, ICDM 2006 - Hong Kong, Hong Kong
Duration: 18 Dec 200618 Dec 2006

Conference

Conference6th IEEE International Conference on Data Mining - Workshops, ICDM 2006
CountryHong Kong
CityHong Kong
Period18/12/0618/12/06

ASJC Scopus subject areas

  • Engineering(all)

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