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題 名 | 基於粗糙集理論使用多決策表化簡方法於疾病診斷=Using Multiple Decision Tables Analysis Approach for Diagnoses of Diseases Based on Rough Set Theory |
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作 者 | 陳惠翔; 林進益; 陳惠翔; 林進益; | 書刊名 | 全球商業經營管理學報 |
卷 期 | 7 2015.09[民104.09] |
頁 次 | 頁163-174 |
分類號 | 415.83 |
關鍵詞 | 知識挖掘; 粗糙集; 不可分辨關係; 決策規則; 識別矩陣; Knowledge discovery; Rough set; Indiscernibility relation; Decision rule; Discernibility matrix; |
語 文 | 中文(Chinese) |
中文摘要 | 在現實世界中,很難使用多決策屬性從相同的訊息發現知識。通常,同一時間祗能考慮一個決策 屬性。如果有相同的訊息對應於多決策屬性的訊息。通常的做法是單獨靠直覺或專業知識,為了要簡 化多決策屬性分析。本文提出的方法是使用粗糙集理論的化簡分解多決策屬性分類成多值域 (multiple-domain)簡化分析。我們提出多值域的實證研究來說明多決策屬性分析化簡的過程。結果證明 化簡過程可以成功分離多決策屬性成為屬性域。 |
英文摘要 | In the real world, it is difficult to use multi-attribute decision table to discover the knowledge from the same information with multi-purpose. Usually, It is only to consider under a single decision table ,but not under multiple decision tables at a time. If they have same information corresponding with multiple attribute decision tables, the usual approach is the descision attributeseparate by intuition or by expert knowledge in order to simplify analysis of the multi-attribute decision tables. In this paper we propose the rough set theory method that separates multiple-decision table attribute into multiple-domain. Empirical research we propose to illustrate the process of multiple-domain analysis reduction. The results demonstrate that the success of the reduct process can separate multi-attribute decisions by attribute domains successfully. |
本系統中英文摘要資訊取自各篇刊載內容。