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題名:Product Bundling in the Electronic Commerce Environment: A Hybrid Approach
書刊名:International Journal of Information and Management Sciences
作者:梁文耀 引用關係黃俊哲
作者(外文):Liang, Wen-yauHuang, Chun-che
出版日期:2015
卷期:26:4
頁次:頁a9+393-410
主題關鍵詞:電子商務產品組合約略集合理論基因演算法E-commerceProduct bundlingRough set theoryGenetic algorithm
原始連結:連回原系統網址new window
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Product bundling is a widespread practice in the current e-commerce environment. However, there are few investigations about bundled commodities mining. Because no efficient method of product bundling is currently available, an expert selection of appropriate product bundling is a complex process. This is time-consuming and cannot efficiently meet the enterprise’s need. It is essential for a company to develop product bundling based on analyzing the related information that fits different requirements and maximizes the benefit. This study proposes a method of incorporating GA and rough set theory. The superiority of the proposed GA is its ability to model problems and explore solutions generically. The proposed method improves GA performance by reducing the domain range of the initial population and constrained crossover using rough set theory. The experimental results in this study confirm that this approach is highly effective and very promising.
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