Using the fuzzy linguistic preference relation approach for assessing the importance of risk factors in a software development project

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題名:	Using the fuzzy linguistic preference relation approach for assessing the importance of risk factors in a software development project
作者:	張東生;Su, Shih-Chang;Chang, Dong-Shang;Yu, Shih-Heng;Lu, Shih-Tong
貢獻者:	管理學院企業管理學系
關鍵詞:	Contractors;Decision making;Design;Engineering;Fuzzy sets;Information science;Information systems;Linguistics;Project management;Researchers;Risk analysis;Risk assessment;Risk factors;Risk management;Schedules;Set theory;Software;Software development;Studies;User services
日期:	2013-06-28
上傳時間:	2026-04-23 11:26:24 (UTC+8)
出版者:	Hindawi Publishing Corporation;Cairo, Egypt: Hindawi Publishing Corporation
摘要:	摘要： This study employs fuzzy linguistic preference relation (Fuzzy LinPreRa) approach to assess the relative degree of impact of risk factors in software development project for two expert groups working in technology enterprises and software development companies. For the identified risk dimensions, the results show the same rankings for these two groups. “Organization function risk” is considered the most important dimension influencing the software development project performance, with the others, in order, being “developing technology risk,” “resources integration risk,” “personnel system risk” and “system requirement risk.” The proposed approach not only facilitates the information collecting for making pairwise comparisons, but it also eliminates the inconsistencies in the collected information. 出版者： Cairo, Egypt: Hindawi Publishing Corporation 出版日期： 2013-01-01 出處： Mathematical problems in engineering, 2013-01, Vol.2013 (2013), p.1-9 資源來源： Publicly available content database 版權： Copyright © 2013 Shih-Tong Lu et al. 版權： Copyright © 2013 Shih-Tong Lu et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 識別號： ISSN: 1024-123X 識別號： ISSN: 1026-7077 識別號： ISSN: 1563-5147 識別號： EISSN: 1563-5147 識別號： DOI: 10.1155/2013/376375
顯示於類別:	[企業管理學系] 期刊論文

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