| Summary: | 碩士 === 國立聯合大學 === 管理碩士學位學程 === 98 === Due to the rapid development of information and Internet technologies, the cloud computing which combined Internet architecture with high-speed computation ability is provided to meet the requirements of organizations. Recently, many enterprises consider to adjust traditional information services model gradually and transform into cloud computing services model because the benefits of cloud computing service. However, the application domains or industries need the cloud computing services are different from their characteristics. Therefore, the cloud computing suppliers should evaluate the feasibility for each application effectively before developed the services.
From the viewpoint of service innovation and service value, many influence factors and indices are collected in this study to measure the feasibility of cloud computing service. The feasibility evaluation should consider both qualitative and quantitative factors simultaneously. In the evaluation process, decision makers are often can not provide the crisp evaluation because their judgments are always subjective and vagueness. Under this situation, interval-valued fuzzy sets are suitable used to represent the fuzziness of membership value of their opinions, and to reduce the uncertain and fuzziness in the evaluation process. Therefore, fuzzy interval linguistic variables and interval-valued fuzzy AHP are applied to construct the feasibility evaluation model of cloud computing service. According to the evaluation model, an interactive feasibility evaluation system is designed and developed on the Google App Engine cloud computing platform to enhance the practical value of the proposed model in this study.
Using factor analysis, there are four dimensions and thirteen indices are included in the evaluation architecture. Additionally, four application domains such as the education industry, medical industry, financial industry, and logistics industry are evaluated and analyzed in this study. The results showed that the most important dimension is “system quality”, and the highest feasibility domain is “financial industry”.
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