應用粗糙集於資料分析之探討

TheExplorationofDataAnalysisUsingRoughSetTheory

黃政勇(Cheng-Yung Huang)

指導教授 ： 龐金宗

元智大學/資訊學院/資訊管理學系/碩士(2012年)

https://doi.org/10.6838/YZU.2012.00225

摘要

資訊科技不斷的發展，不僅增進了人們工作的效率，也大幅改善了人工作業的許
多缺點。然而高度依賴資訊科技的情形之下，企業必須採購及提供大量的設備給
員工使用。許多企業採用『資源共享』的模式來降低購置成本，也使得設備能充
分的被利用。但如何在所有的資產中，找出必要且合適被共享的設備，就必須從
財產清單中著手。如何在龐大的資料中找出答案？此時就有賴於資料探勘的技術
協助。
資料探勘(Data Mining)是近年資訊管理系統的的重點之一，能將原有簡單的
資料轉換成有用的資訊，進而協助決策的擬定與執行。而粗糙集合理論即是資料
探勘眾多理論之一。透過本研究您可以了解粗糙集合理論的觀念、方法及操作流
程，以及在決策規則產出後，該如何解釋及利用。

關鍵字

資料探勘 ； 粗糙集合理論 ； 資源共享

並列摘要

With the advanced information technology, work efficiency has been improved and
drawbacks dwindled. Enterprises have to procure and provide a great amount of
facilities for employees to use at work. Thus, many companies have chosen to adopt
the model of “Resource Sharing” to cut expenses and fully utilize the purchased
facilities. How we find suitable resources from the many assets in one company for
sharing turns out to be a challenge. Data mining then seems to kick in right here.
Data Mining has always been crucial and handy in the recent development
of information management system. ‘Rough Set Theory’ is just one of the many
theories of data mining which can turn a simple datum into useful information.
Through this research, one can realize the main ideas, the methods and the operating
processes of rough set theory as well as know how to use it and explain the decision
rules afterwards.

並列關鍵字

Data Mining ； Rough Set Theory ； Resource Sharing

參考文獻

[3] Z. Pawlak, “Rough set theory and its applications to data analysis,” Cybernetics

[6] BusinessDictionary.com, “useful life.” http://www.businessdictionary.

[9] M. Kryszkiewicz, “Rough set approach to incomplete information systems,”

A tutorial,” Rough fuzzy hybridization: A new trend in decision-making, pp. 3–98, 1999.

[11] W. Ziarko, “Variable precision rough set model,” Journal of computer and system