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.

+More

decisionmaking outcomes tourists characteristics classification method multiple outcome reduct generation morg multiple outcome rule extraction more approaches decision rules meaningful reducts investigation of tourism development qualitative modeling rough set rs based approach tourism business

Chun-Che Huang,Tzu-Liang (Bill) Tseng†,Kun-Cheng Chen,.Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory. 9 (6),.

Chun-Che Huang,Tzu-Liang (Bill) Tseng†,Kun-Cheng Chen,"Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory" 9

Chun-Che Huang,Tzu-Liang (Bill) Tseng†,Kun-Cheng Chen,"Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory"