A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel
博士 === 義守大學 === 資訊工程學系 === 105 === The tourism industry is currently the world''s largest and most vibrant industry, the United Nations World Tourism Organization figures show that the tourism industry accounted for 11% of global production, and 2017 as the International Year of Su...
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ndltd-TW-105ISU053920142019-05-15T23:39:16Z http://ndltd.ncl.edu.tw/handle/s6we3j A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel 模糊多準則專家決策法於五星級觀光旅館服務品質評選之研究 Jun-Ting Ju 朱峻廷 博士 義守大學 資訊工程學系 105 The tourism industry is currently the world''s largest and most vibrant industry, the United Nations World Tourism Organization figures show that the tourism industry accounted for 11% of global production, and 2017 as the International Year of Sustainable Development. In the Taiwan tourism market in the quantitative change from qualitative change in the structure of the transition stage, China will become the occasion of tens of millions of tourism, the quality and value of the promotion is more important. Tourism industry continued strong growth at the same time, the domestic five-star international tourist number growth, since can not be ignored important international tourism quality indicators, Taiwan and international five-star tourist hotel development situation, in addition to start late, and has lost more Multi-market competitive advantage, and the need for a comprehensive view of the past in order to integrate with international quality, the future determined to be as Asia''s main tourist destination in Taiwan, must be international-class five-star tourist hotel growth and quality improvement, Taiwan international tourism quality improvement one of the important indicators. In this study, we use FMCDM expert decision-making method to develop a set of expert decision-making model which can provide the best choice for government and domestic five-star tourist hotel. Special five-star tourist hotel service quality selection "as an example, to explore how different and limited variety of assessment environment, select the best quality service quality five-star tourist hotel. Will use the FMCDM theory, combined with the majority of expert opinion, given the appropriate assessment criteria of the weight and fuzzy number, after the integration evaluation, and then use the fuzzy TOPSIS method to sort, as the best selection of "five-star tourist hotel service quality selection" basis And reference. The results of the study found that the eight participating hotels were ranked W4>W7>W8>W3>W5>W2>W6>W1 after the eight evaluation criteria were integrated by the six decision-makers. Best Choice Hotel. Yu-Lung Wu 吳有龍 2017 學位論文 ; thesis 104 zh-TW |
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博士 === 義守大學 === 資訊工程學系 === 105 === The tourism industry is currently the world''s largest and most vibrant industry, the United Nations World Tourism Organization figures show that the tourism industry accounted for 11% of global production, and 2017 as the International Year of Sustainable Development. In the Taiwan tourism market in the quantitative change from qualitative change in the structure of the transition stage, China will become the occasion of tens of millions of tourism, the quality and value of the promotion is more important. Tourism industry continued strong growth at the same time, the domestic five-star international tourist number growth, since can not be ignored important international tourism quality indicators, Taiwan and international five-star tourist hotel development situation, in addition to start late, and has lost more Multi-market competitive advantage, and the need for a comprehensive view of the past in order to integrate with international quality, the future determined to be as Asia''s main tourist destination in Taiwan, must be international-class five-star tourist hotel growth and quality improvement, Taiwan international tourism quality improvement one of the important indicators.
In this study, we use FMCDM expert decision-making method to develop a set of expert decision-making model which can provide the best choice for government and domestic five-star tourist hotel. Special five-star tourist hotel service quality selection "as an example, to explore how different and limited variety of assessment environment, select the best quality service quality five-star tourist hotel. Will use the FMCDM theory, combined with the majority of expert opinion, given the appropriate assessment criteria of the weight and fuzzy number, after the integration evaluation, and then use the fuzzy TOPSIS method to sort, as the best selection of "five-star tourist hotel service quality selection" basis And reference.
The results of the study found that the eight participating hotels were ranked W4>W7>W8>W3>W5>W2>W6>W1 after the eight evaluation criteria were integrated by the six decision-makers. Best Choice Hotel.
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author2 |
Yu-Lung Wu |
author_facet |
Yu-Lung Wu Jun-Ting Ju 朱峻廷 |
author |
Jun-Ting Ju 朱峻廷 |
spellingShingle |
Jun-Ting Ju 朱峻廷 A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel |
author_sort |
Jun-Ting Ju |
title |
A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel |
title_short |
A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel |
title_full |
A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel |
title_fullStr |
A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel |
title_full_unstemmed |
A Study of Applying Fuzzy Criteria Expert Decision-Making Method in the Service Quality Selection of Five-Star Tourist Hotel |
title_sort |
study of applying fuzzy criteria expert decision-making method in the service quality selection of five-star tourist hotel |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/s6we3j |
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