353
Views
5
CrossRef citations to date
0
Altmetric
Articles

Applying Fuzzy Multiple Criteria Decision Making approach to establish safety-management system for hot spring hotels

&
Pages 1343-1356 | Received 17 Jul 2015, Accepted 02 Apr 2016, Published online: 26 Apr 2016
 

ABSTRACT

Taiwan’s hot spring tourism has been booming for decades. In this study, a new procedure using a Fuzzy Multiple Criteria Decision Making (MCDM) integrated with a linguistic scale is proposed to set up measurable indicators and determine their weights for safety management in hot spring hotels. Twelve experts, including five professors, four hoteliers, and three officials, were invited to participate in this survey. To aggregate the results, water supply system gains the most weight (.426), followed by the bathing space design (.391) and maintenance system (.307). The main contributions of this paper are: (1) to integrate the Fuzzy MCDM with linguistic scale that converts the subjective cognitions of groups including scholars, owners and officials into a set of objective safety management indicators for hot spring hotels, and (2) to provide the governments and hoteliers with criteria to formulate reasonable regulations for hot springs tourism in terms of safety management.

Additional information

Funding

This work was supported by the Education Department of Guangdong Province [grant number 2015GXJK036].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 153.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.