以約略集合為基礎的多元結果規則擷取演算法與其旅遊應用

A Multiple Outcome Rule Extract Algorithm Based on the Rough Set and the Application in Tourism

陳昆晟(Kun-Cheng Chen)

指導教授 ： 黃俊哲

國立暨南國際大學/管理學院/資訊管理學系/碩士(2010年)

摘要

在旅遊領域裡許多現有的研究缺乏分析質性資料的方法。雖然傳統的約略集合方法在定性模型上是一個傑出的分類方法，但該方法並未考慮多元結果的情況。這將會難以分析如果旅遊經驗不僅影響一個決策結果的情況。因此，本研究提出一個以約略集合為基礎的演算法來解決多元結果的情況。
　　此外，直接使用簡約程序產生的最簡化屬性集合是沒有意義的。為了要找出有意義的最簡化屬性集合，並確保規則的強度與穩定性，本研究提出一個基於排序的演算法從最簡化屬性集合相對應的訓練資料集和測試資料集中歸納規則。並收集相關的資訊如支持率與準確率來萃取規則。額外的貢獻是本研究將解決方法應用於旅遊業。主要的目的是要了解客戶的特徵及旅遊決策任務間的關係，以保持企業的競爭。

關鍵字

約略集合 ； 多元結果 ； 旅遊任務

並列摘要

In tourism, most of the existing studies lack a method to analyze qualitative nature of the data. Although traditional rough set approach is an excellent classification method in qualitative modeling, but the approach has no considering multiple outcomes situation. It’s hard to analyze if tourist's experience can not only impact of single decision-making outcome. Therefore, this study proposes a novel algorithm that applies the rough sets theory for solving multiple outcomes situation.
　　Moreover, the direct use of the result provided by reduct generation procedure may lead to many reducts that contain features that are not meaningful. In order to identify meaningful reducts and ensure the strength and stability of rules, this study proposes a ranking based algorithm to induct and applied each reduct to the test data set corresponding to that of the training set. And collect information regarding the support and accuracy of that reduct in the new data for extracting rule. As an additional contribution, this study applies the solution approach in tourism. The aim is to understand relationship between characteristic of customer and tourist decision-making tasks to keep business competitive.

並列關鍵字

Rough sets ； multiple outcomes ； tourism task

參考文獻

Alf H. Walle, 1997, "Quantitative versus qualitative tourism research," Annals of Tourism Research, Vol. 24, No. 3, pp. 524-536.

Alfredo Petrosino and Alessio Ferone, 2008, “Rough fuzzy set-based image compression,” Fuzzy Sets and Systems, Vol. 160, No. 10, pp. 1485-1506.

Antoine Zalatan, 1998, “Wives' involvement in tourism decision processes,” Annals of Tourism Research, Vol. 25, No. 4, pp. 890-903.

Bartłomiej Predki, Roman Słowiński, Jerzy Stefanowski, Robert Susmaga and Szymon Wilk, 2009, "ROSE-Software implementation of the rough set theory,” Rough Sets and Current Trends in Computing, Vol. 1424, pp. 605-608.

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