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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/60702

    Title: A fuzzy AHP application in government-sponsored R&D project selection
    Authors: Huang,Chi-Cheng;Chu,Pin-Yu;Chiang,Yu-Hsiu
    Contributors: 政大公行系
    Keywords: Fuzzy analytic hierarchy process;Government sponsored R&D projects;Crisp judgment matrix;Simulation
    Date: 2008-12
    Issue Date: 2013-09-10 14:14:39 (UTC+8)
    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 scienti?c 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.
    Relation: Omega, 36(6), 1038-1052
    Data Type: article
    Appears in Collections:[公共行政學系] 期刊論文

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