dc.contributor | 政大公行系 | en_US |
dc.creator (作者) | Huang,Chi-Cheng ;Chu,Pin-Yu | en_US |
dc.date (日期) | 2011-01 | en_US |
dc.date.accessioned | 10-Sep-2013 13:36:30 (UTC+8) | - |
dc.date.available | 10-Sep-2013 13:36:30 (UTC+8) | - |
dc.date.issued (上傳時間) | 10-Sep-2013 13:36:30 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/60683 | - |
dc.description.abstract (摘要) | Technology development programs have proven to be useful strategies for governments to encourage private firms to undertake R&D projects. Due to limited budgets, a government must select proper R&D projects for funding. R&D project selection is full of uncertainty and can be viewed as a multiple-criteria decision that is normally made by a review committee. In this study, we propose a fuzzy analytic network process method to handle interdependency among evaluation criteria and integrate the divergent judgements of experts in a R&D project selection committee. Our findings suggest that ‘scientific and technological merit’ and ‘project execution’ are the most important criteria and, moreover, indicate that the relative importance of evaluation criteria changes in different degrees of uncertainty. | en_US |
dc.format.extent | 319922 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.relation (關聯) | International Journal of Technology Management, 53(1), 89-115 | en_US |
dc.subject (關鍵詞) | technology R&D;R&D projects;fuzzy ANP;analytical network process; project selection;research and development;technology development;multicriteria decision making;MCDM;interdependency;uncertainty | en_US |
dc.title (題名) | Using fuzzy analytic network process for selecting technology R&D projects | en_US |
dc.type (資料類型) | article | en |
dc.identifier.doi (DOI) | 10.1504/IJTM.2011.037239 | en_US |
dc.doi.uri (DOI) | http://dx.doi.org/10.1504/IJTM.2011.037239 | en_US |