Browsing by Author "Kang, Tsai-Hua"

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Importing Fuzzy Measure to Relative Scores of Technical Efficiency
(2009)
Shieh, Jia-Horng
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Kang, Tsai-Hua
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Yuan, Benjamin J. C.
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Tsai, Li-Min
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交大名義發表
This paper suggests extending scores of technical efficiency as used in, for example, Data Envelopment Analysis (DEA) to efficiency scores defined as so-called fuzzy intervals. Fuzzy scores allow the decision maker to use scores of technical efficiency in combination with other sources of available performance information e.g. expert opinions, key figures etc. In this sense, results of, DEA will be used to control the \'subjective\' information supplied by expert opinions while the subjective information will be used to supplement the narrow Input-output modeling of the production units used in DEA. So, fuzzy measures become formal images of the evaluation otherwise done implicitly by the decision maker.
The Foresight Model that Focuses on Political and Social
(2010)
Kang, Tsai-Hua
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Jia-Horng, Shieh
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Chang, Chien Ching
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Li, Kuang-Pin
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Tsai, Li-Min
Due to global competition and rapid technological advancement, foresight has become an important method of formulating technological policies. In this study, we look at the different kinds of foresight models. And brief analyze political and social aspect foresight. Finally, we will describe "The Foresight Integration Model" which based on political and social forming.
The overall foresight model that focuses on consensus forming
(2007)
Yuan, Benjamin
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Kang, Tsai-Hua
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Chang, Chien Ching
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科技管理研究所
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Institute of Management of Technology
Due to global competition and rapid technological advancement, foresight has become an important method of formulating technological policies. Consensus forming is one of the benefits of the foresight procedure as it allows the society to effectively understand a technology's characteristics during its initial developmental stage. Also, foresight effectively guides the development of a technology, eliminating the dilemma of being unable to manage the technology's future influences. Focusing on consensus forming, this study analyzes foresight through different stages: a macro model that focuses on consensus forming has been proposed in this study in order for us to understand the influence of different factors on foresight planning. The content of consensus forming may include areas such as the possible future, the beneficial future, the preferable future, the current action plan, and its development and promotion.