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Information Journal Paper

Title

AN INTELLIGENCE-BASED MODEL FOR SUPPLIER SELECTION INTEGRATING DATA ENVELOPMENT ANALYSIS AND SUPPORT VECTOR MACHINE

Pages

  209-241

Abstract

 The importance of SUPPLIER SELECTION is nowadays highlighted more than ever as companies have realized that efficient SUPPLIER SELECTION can significantly improve the performance of their supply chain. In this paper, an integrated model that applies DATA ENVELOPMENT ANALYSIS (DEA) and SUPPORT VECTOR MACHINE (SVM) is developed to select efficient suppliers based on their predicted efficiency scores. In the first step, fuzzy linguistic variables are changed to crisp data as initial dataset for DEA. Actual efficiency scores are then calculated for each Decision Making Unit (DMU) using CCR-DEA model. Afterwards, suppliers’ performance-related data are used for training SVM-DEA model. A numerical example representing an actual case is provided to indicate the applicability of the model.

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  • Cite

    APA: Copy

    FALLAHPOUR, ALIREZA, KAZEMI, NIMA, MOLANI, MOHAMMAD, Nayeri, Sina, & EHSANI, MOJTABA. (2018). AN INTELLIGENCE-BASED MODEL FOR SUPPLIER SELECTION INTEGRATING DATA ENVELOPMENT ANALYSIS AND SUPPORT VECTOR MACHINE. IRANIAN JOURNAL OF MANAGEMENT STUDIES, 11(2 ), 209-241. SID. https://sid.ir/paper/240910/en

    Vancouver: Copy

    FALLAHPOUR ALIREZA, KAZEMI NIMA, MOLANI MOHAMMAD, Nayeri Sina, EHSANI MOJTABA. AN INTELLIGENCE-BASED MODEL FOR SUPPLIER SELECTION INTEGRATING DATA ENVELOPMENT ANALYSIS AND SUPPORT VECTOR MACHINE. IRANIAN JOURNAL OF MANAGEMENT STUDIES[Internet]. 2018;11(2 ):209-241. Available from: https://sid.ir/paper/240910/en

    IEEE: Copy

    ALIREZA FALLAHPOUR, NIMA KAZEMI, MOHAMMAD MOLANI, Sina Nayeri, and MOJTABA EHSANI, “AN INTELLIGENCE-BASED MODEL FOR SUPPLIER SELECTION INTEGRATING DATA ENVELOPMENT ANALYSIS AND SUPPORT VECTOR MACHINE,” IRANIAN JOURNAL OF MANAGEMENT STUDIES, vol. 11, no. 2 , pp. 209–241, 2018, [Online]. Available: https://sid.ir/paper/240910/en

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