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A Broad Case-Based Distance Approach for Screening with Different Target Points

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  • Li-Ching Ma

    (Department of Information Management, National United University, 1, Lienda, Miaoli, Taiwan 36003, ROC)

Abstract

The case-based distance (CBD) methods for screening are helpful for assisting decision makers in filtering out alternatives that are unlikely to be chosen. However, most of these methods based on selected cases and distance measurements from a chosen target point can only solve screening problems with positive criteria weights. This study proposes a two-phase approach based on mixed integer programming to integrate the concept of Data Envelopment Analysis-Discriminant Analysis (DEA-DA) and the extended case-based distance (ECBD) method for screening problems involving uncertain signs of criteria weights and different target points. The results show that the proposed approach can reduce the misclassification rate and address multiple solution problems. In addition, because the proposed approach can solve problems involving negative weights directly, the influences of different target points can be reduced. Therefore, it is helpful for decision makers to conduct scenario analysis based on different chosen target points.

Suggested Citation

  • Li-Ching Ma, 2017. "A Broad Case-Based Distance Approach for Screening with Different Target Points," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-16, August.
    • Handle: RePEc:wsi:apjorx:v:34:y:2017:i:04:n:s0217595917500130
    DOI: 10.1142/S0217595917500130
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    References listed on IDEAS

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    5. Li-Ching Ma & Pei-Pei Hsu, 2014. "A Graphical Screening Approach for Group Decisions Based on the Extended Case-Based Distance Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 1161-1181.
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