• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.26-29
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• 2012

In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy training samples are reduced to ordinary fuzzy samples by the mean reduction method. Secondly the definition of strong fuzzy linear separable data for type-2 fuzzy samples on generalized credibility space is introduced. Further, by utilizing fuzzy chance-constrained programming and classic support vector machine, a support vector machine based on type-2 fuzzy training samples and established on generalized credibility space is given. An example shows the efficiency of the support vector machine.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.661-674
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• 2018

This paper studies how the audience perceives the types of classical performances in their performance choice, analyzes its effects on performance invigoration, and investigates how such an audience perception affects the marketing application of performance on the supply side. For this, based on data of performance programs delivered in five representative concert halls for last three years as well as the classification of previous literature, we classified performance types into five categories such as Authentic classic, Omnibus, Lecture, Crossover and Mixture type. And then, we surveyed the audience of classical music. From statistical analyses, we found first that the audience perceives the types of classical performances and utilizes their perception as an element in choosing performances. Second, the perception of classical performance types has significant effects on audience development and progress in circumstances of high audience acceptance and satisfaction. Finally, this result confirms that suppliers can employ this audience perception as a marketing strategy by setting target audience based on such perception.