A hybrid  ANP model in fuzzy environments for strategic alliance partner selection in the airline industry

doi:10.1016/j.asoc.2011.01.024

淡江大學機構典藏 > 商管學院 > 運輸管理學系暨研究所 > 期刊論文 > Item 987654321/62096

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题名:	A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry
作者:	Liou, James J.-H.;Tzeng, Gwo-Hshiung;Tsai, Chieh-yuan;Hsu, Chao-Che
贡献者:	淡江大學運輸管理學系
关键词:	Strategic alliance;Fuzzy preference programming;Analytic network process (ANP);Airline industry
日期:	2011-06
上传时间:	2011-10-17 22:36:07 (UTC+8)
出版者:	Amsterdam: Elsevier BV
摘要:	Strategic airline alliances are an increasingly common strategy for enhancing airline competitiveness and satisfying customer needs, especially in an era characterized by blurring industry boundaries, fast-changing technologies, and global integration. Airlines have been very active in utilizing this form of strategic development. However, the selection of a suitable partner for a strategic alliance is not an easy decision, involving a host of complex considerations by different departments. Furthermore the decision-makers may hold diverse opinions and preferences arising due to incomplete information and knowledge or inherent conflict between various departments. In this study fuzzy preference programming and the analytic network process (ANP) are combined to form a model for the selection of partners for strategic alliances. The effects of uncertainty and disagreement between decision-makers as well as the interdependency and feedback that arise from the use of different criteria and alternatives are also addressed. This generic model can be easily extended to fulfill the specific needs of a variety of companies.
關聯:	Applied Soft Computing 11(4), pp3515-3524
DOI:	10.1016/j.asoc.2011.01.024
显示于类别:	[運輸管理學系暨研究所] 期刊論文

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