Applying Fuzzy Multi-criteria Decision Making to Select the Key Capabilities for Hot Spring Hotel

• Main Authors: CHEN, HSIAO-CHING, 陳曉青
• Other Authors: CHEN, YAW-CHU
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/428sq3

碩士 === 銘傳大學 === 觀光事業學系碩士在職專班 === 106 === Within the increasing development of recreation areas and the consequent fierce competition are the primary challenges. Managers in hot spring hotels are concerned with the effective allocation of limited resources, improvements to the hotel’s operational abilities, and solicitation of an increasing number of consumers for various service modes. Although these hotel managers already knew what kinds of market they’re targeting for, but they also have to find out what is the key capabilities for them to survive in such a competitive market. Therefore, the purpose of this paper is providing a decision-making method to evaluate the key capabilities for the management models of the hot spring hotel in Beitou. Because traditional financial tools are insufficient in measuring the assets, this study adopts the balanced scorecard to measure their capabilities. In addition, some selecting criteria are qualitative by nature and often depend on experts’ judgment of approximation. It is difficult to elicit the complete, precise, and reliable knowledge from the experts. As mentioned above, a fuzzy multi-criteria decision-making method appears to be one of the feasible solutions to handle such difficult problems. The fundamental concepts we have adopted include the expert interview, the eigenvector method, and the fuzzy multi-criteria decision-making method. The fuzzy Delphi method is integrated with the eigenvector method to form a set of pooled weights of the criteria, and the concepts of triangular fuzzy number and linguistic variables are used to assess the preference ratings of linguistic variables, ‘importance’ and ‘appropriateness’. Through the hierarchy integration, we obtain the final scores of alternatives. Then we use Chen’s ranking method to rank alternatives.