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Development of a Decision Support System for Selection of Reviewers to Evaluate Research and Development Projects

Author

Listed:
  • Serdar Koçak

    (The Scientific and Technological Research Council of Turkey, 06100 Kavaklıdere, Ankara, Turkey)

  • Yusuf Tansel İç

    (��Department of Industrial Engineering, Baskent University, 06790, Etimesgut, Ankara, Turkey)

  • Mustafa Sert

    (��Department of Computer Engineering, Baskent University, 06790, Etimesgut, Ankara, Turkey)

  • Kumru Didem Atalay

    (��Department of Industrial Engineering, Baskent University, 06790, Etimesgut, Ankara, Turkey)

  • Berna Dengiz

    (��Department of Industrial Engineering, Baskent University, 06790, Etimesgut, Ankara, Turkey)

Abstract

The evaluation of Research and Development (R&D) projects consists of many steps depending on the government funding agencies and the support program. It is observed that the reviewer evaluation reports have a crucial impact on the support decisions of the projects. In this study, a decision support system (DSS), namely R&D Reviewer, is developed to help the decision-makers with the assignment of the appropriate reviewer to R&D project proposals. It is aimed to create an artificial intelligence-based decision support system that enables the classification of Turkish R&D projects with natural language processing (NLP) methods. Furthermore, we examine the reviewer ranking process by using fuzzy multi-criteria decision-making methods. The data in the database is processed primarily to classify the R&D projects and the word embedding model NLP, “Word2Vec†. Also, we designed the Convolutional Neural Network (CNN) model to select the features by using the automatic feature learning approach. Moreover, we incorporate a new integrated hesitant fuzzy VIKOR and TOPSIS methodology into the developed DSS for the reviewer ranking process.

Suggested Citation

  • Serdar Koçak & Yusuf Tansel İç & Mustafa Sert & Kumru Didem Atalay & Berna Dengiz, 2023. "Development of a Decision Support System for Selection of Reviewers to Evaluate Research and Development Projects," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 22(06), pages 1991-2020, November.
    • Handle: RePEc:wsi:ijitdm:v:22:y:2023:i:06:n:s0219622022500961
    DOI: 10.1142/S0219622022500961
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