A generalized multiple layer data envelopment analysis model

Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs, Özgür Kabak

    Research outputpeer-review


    Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs. In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized. Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed.
    Original languageEnglish
    Title of host publicationIntelligent Decision Making Systems
    Place of PublicationSingapore, Singapore
    StatePublished - Nov 2009
    EventThe 4th Int. ISKE Conf. on Intelligent Decision Making Systems - Hasselt
    Duration: 27 Nov 200928 Nov 2009

    Publication series

    NameComputer Engineering and Information Science


    ConferenceThe 4th Int. ISKE Conf. on Intelligent Decision Making Systems

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