Using Fuzzy Preference Method for Group Package Tour Based on the Risk Perception

Tsuen-Ho Hsu () and Ling-Zhong Lin ()
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Tsuen-Ho Hsu: National Kaohsiung First University of Science and Technology
Ling-Zhong Lin: Shih Chien University Kaohsiung Campus

Group Decision and Negotiation, 2014, vol. 23, issue 2, No 7, 299-323

Abstract: Abstract This study explores group package tour (GPT) itineraries based on comparative risk methodology using the fuzzy Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE). It combines the concepts of fuzzy sets to represent the uncertain information in intrinsic risks with PROMETHEE, a subgroup of Multi-Criteria Decision Making methods. Based on in-depth interviews with 40 GPT leaders, this study identifies comprehensive intrinsic risk factors. Furthermore, this study compares the risk perceptions associated with 12 factors by applying traditional PROMETHEE and fuzzy PROMETHEE methods to four itineraries. The PROMETHEE method can be used when the input data are numeric and crisp. The fuzzy PROMETHEE method is preferred when substantial uncertainties and subjectivities exist in GPT itinerary information. Finally, several academic and managerial implications about GPT tour risk controls are outlined.

Keywords: Fuzzy PROMETHEE; Group package tour; Risk perception (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10726-012-9313-7

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