| Summary: | 碩士 === 國立宜蘭大學 === 建築與永續規劃研究所碩士班 === 100 === Because performers are the most frequent users of performing arts centers and the only people who use certain facilities and spaces, examining whether the facilities meet performers’ demands from their perspective is crucial. Following a review of literature, we categorized the key attributes of performance spaces into “sound,” “lighting,” “air quality,” “stage space,” “backstage facilities,” and “stage machinery” criteria to establish evaluative items for performers. These criteria were used in the content of the questionnaire to understand the consumers’ basic requirement combination conditions on performing arts facilities.
The purpose of this study was to establish a performing arts center evaluation model and analyze the needs various performance forms have of performing arts center facilities to provide a reference for performing arts center renovations. We employed rough set theory as the foundation for examining attribute value impact combinations and rules. The results were then applied to identify the core and reduction of attributes to construct a decision rule model. We subsequently employed this model to resolve existing problems and to analyze the decision rules of performers.
In this study, we conducted attribute value reduction of the basic rules and derived the following conclusions based on the identified decision-making principles. Additionally, we identified the demands that various types of performers have of performing arts centers. “Music performers” value the attributes of performing arts centers in the following order: (1) A3 stage space, with a rule strength of 11.355%; (2) A0 sound, with a rule strength of 7.692%
; and (3) A4 backstage facilities, with a rule strength of 4.769%. “Dance performers” value the attributes of performing arts centers in the following order: (1) A4 backstage facilities, with a rule strength of 13.901%; (2) A5 stage machinery, with a rule strength of 9.865%; and (3) A0 sound and A1 lighting, with rule strength of 8.968% each. “Drama performers” value the attributes of performing arts centers in the following order: (1) A1 lighting, with a rule strength of 6.116%; (2) A3 stage space, with a rule strength of 6.116%; and (3) A5 stage machinery, with a rule strength of 3.975%. The results of this empirical study show that to resolve attribute independence problems and ensure accurate estimated data is collected, the various attributes can be used to establish decision rules, provide effective strategies for planning, and determine design indicators for future performing arts center construction.
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