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A fuzzy AHP application in government-sponsored R&D project selection

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Listed:
  • Huang, Chi-Cheng
  • Chu, Pin-Yu
  • Chiang, Yu-Hsiu

Abstract

Due to the funding scale and complexity of technology, the selection of government sponsored technology development projects can be viewed as a multiple-attribute decision that is normally made by a review committee with experts from academia, industry, and the government. In this paper, we present a fuzzy analytic hierarchy process method and utilize crisp judgment matrix to evaluate subjective expert judgments made by the technical committee of the Industrial Technology Development Program in Taiwan. Our results indicate that the scientific and technological merit is the most important evaluation criterion considered in overall technical committees. We demonstrate how the relative importance of the evaluation criteria changes under various risk environments via simulation.

Suggested Citation

  • Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
    • Handle: RePEc:eee:jomega:v:36:y:2008:i:6:p:1038-1052
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Feldman, Maryann P & Kelley, Maryellen R, 2003. "Leveraging Research and Development: Assessing the Impact of the U.S. Advanced Technology Program," Small Business Economics, Springer, vol. 20(2), pages 153-165, March.
    3. Thomas Astebro, 2004. "Key Success Factors for Technological Entrepreneurs' R&D Projects," Post-Print hal-00476926, HAL.
    4. Muhittin Oral & Ossama Kettani & Pascal Lang, 1991. "A Methodology for Collective Evaluation and Selection of Industrial R&D Projects," Management Science, INFORMS, vol. 37(7), pages 871-885, July.
    5. Matthew J. Liberatore & George J. Titus, 1983. "The Practice of Management Science in R&D Project Management," Management Science, INFORMS, vol. 29(8), pages 962-974, August.
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