Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory

被引：0
作者：
Chun-Che Huang
Tzu-Liang Bill Tseng
Kun-Cheng Chen
机构：
[1] National Chi Nan University,Department of Information Management
[2] The University of Texas at El Paso,Department of Industrial, Manufacturing and Systems Engineering
来源：
International Journal of Computational Intelligence Systems | 2016年 / 9卷
关键词：
Rough Sets; Tourism; Customer Satisfaction; Decision Making; Rule Induction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To explore the relationship between characteristics and decision-making outcomes of the tourist is critical to keep competitive tourism business. In investigation of tourism development, most of the existing studies lack of a systematic approach to analyze qualitative data. Although the traditional Rough Set (RS) based approach is an excellent classification method in qualitative modeling, but it is can’t deal with the case of multiple outcomes, which is a common situation in tourism. Consequently, the Multiple Outcome Reduct Generation (MORG) and Multiple Outcome Rule Extraction (MORE) approaches based on RS to handle multiple outcomes are proposed. This study proposes a ranking based approach to induct meaningful reducts and ensure the strength and robustness of decision rules, which helps decision makers understand tourist’s characteristics in a tourism case.
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页码：1118 / 1132
页数：14
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[11]  
O’Rourke T(2007)Tourism in the Balearic Islands: A dynamic model for international demand using panel data Tourism Management 28 1224-1235
[12]  
Cardoso M G M S(2005)A multi-national study of family decision-making Multinational Business Review 1 3-21
[13]  
Themido I H(2005)An analysis of institutional contributors to three major academic tourism journals: 1992–2001 Tourism Management 26 641-648
[14]  
Pires F M(2000)Relationship modeling in tourism shopping: a decision rules induction approach Tourism Management 21 241-249
[15]  
Chen Y S(2004)Modeling Tourism Demand: A Decision Rules Based Approach Journal of Travel & Tourism Marketing 16 61-69
[16]  
Cheng C H(2010)Mining customer knowledge for tourism new product development and customer relationship management Expert Systems with Applications 37 4212-4223
[17]  
Dembczyński K(2004)Inducing Heuristic Principles of Tourist Choice of Travel Mode: A Rule-Based Approach Journal of Travel Research 42 75-83
[18]  
Greco S(2008)Color image segmentation: Rough-set theoretic approach Pattern Recognition Letters 29 483-493
[19]  
Słowiński R(2003)On the Decision Table with Maximal Number of Reducts Electronic Notes in Theoretical Computer Science 82 1-8
[20]  
Divino J A(2009)Adapted variable precision rough set approach for EEG analysis Artificial Intelligence in Medicine 47 239-261
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