| Summary: | 碩士 === 亞洲大學 === 資訊工程學系碩士在職專班 === 98 === With regard to amplified dynamic reduction algorithm, previous studies by scholars (Liu Zongtian, 1999; Chen Yunhua, Ye Dongyi, 2002; Li Yinhua, Li Deyu and Zhang Jifu, 2004) had focused on object increment without taking attribute increment into consideration. Only the “test questions of amplified dynamic reduction algorithm based on rough theory” published by Liu Hsiang Chuan, Kuo Chao-Lin and Chen Jia Chin (2009) had taken the attribute increment into account. They proposed the test questions of amplified dynamic reduction algorithm that can be applied not only in educational test domain, but also in other fields as well. This study has specially transformed and applied it in attribute amplification of generalized information system, and also expanded the amplification of “amplified dynamic reduction of individual attributes” to the “attribute set of amplified dynamic reduction” to achieve the “information system reduction algorithm of added attribute set.”
This study has referred to Matlab program written by Kuo Chao-Lin to apply the amplified dynamic reduction algorithm’s test questions of response system test questions into the amplified dynamic reduction’s attributes of generalized information system. The study has also rewritten the Matlab program of Kuo Chao-Lin to enable it to suit using in attribute reduction of information system, and used the added “individual attributes of amplified dynamic reduction” to amplify into “attribute set of amplified dynamic reduction.” Finally, the results and determination degree of attribute set reduction were used to define the added attribute set.
The research findings of this study are stated as follows:
1. The Matlab application program of Kuo Chao-Lin had been improved to suit using it in attribute set of amplification reduction.
2. All attribute sets had been amplified through the aforesaid application program to determine whether or not the amplified attribute set was redundant, replaceable or deemed as necessity attribute set.
3. All the reduction and core in attribute set had been identified to ease analyzing and to apply it in information system.
Keywords: Information systems, attributes of amplified dynamic reduction, attribute set of amplified dynamic reduction.
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