Business Aviation Decision-Making Using Rough Sets
Lecture notes in computer sciencePublished 1 January 2008
Yuping Yang, How‐Ming Shieh, Gwo‐Hshiung Tzeng, Leon Yen, Chien-Chung Chan
Citations13
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
This paper adopts knowledge-discovery tools based on rough set to analyze the potential for business aviation through an empirical study and is optimistic that the proposed method can be similarly applied in other countries to help governments there make decisions about a deregulated market.
Abstract
Business aviation has been popular in the United States, Europe, and South America, however, top economies in East Asia, including Japan, Korea, and Taiwan, have been more conservative and lag behind in the development of business aviation. In this paper, we hope to discover possible trends and needs of business aviation for supporting the government to make decision in anticipation of eventual deregulation in the near future. We adopt knowledge-discovery tools based on rough set to analyze the potential for business aviation through an empirical study. Although our empirical study uses data from Taiwan, we are optimistic that our proposed method can be similarly applied in other countries to help governments there make decisions about a deregulated market.
Keywords
Computer ScienceBusiness, Management and Accounting
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