應用灰關聯分析於網上個人電腦採購Appling Grey Relational Analysis to Purchase Personal Computers Via Web段裘慶*楊鍵樵Chiu-Ching Tuan*Chen-Chau Yang國立臺北科技大學電子工程系* 國立臺灣科技大學電子工程系摘要個人電腦設備之購置已是現今一般大眾或家庭所必須面臨的一項重要課題。為此，本文提出以「灰關聯分析」應用於建置一「網上個人電腦採購」諮詢系統，以提供決策性訊息來協助消費者採購屬於高購買涉入之電腦產品。於作法上，為了探討消費者購置電腦的需求趨勢，先針對約 1500 份「個人電腦購買意向」的有效問卷調查表作交叉分析。之後，依所得之數據來制定「灰關聯式」採購決策法則所需的產品評估要項與權重矩陣表，並制定客觀式、主觀式與綜合式等三種權重模式以為選用。最後，完成一雛型系統以為驗證之用。「灰關聯式採購法則」關鍵詞：灰關聯分析、網上採購諮詢、購買涉入、權重矩陣表、問卷調查。投稿受理時間：90 年 10 月 8 日審查通過時間：91 年 1 月 15 日ABSTRACTIn recent years, purchasing Personal Computers (PCs) has been a crucial issue for most people or families. This study presented a novel purchase rule based on grey relational analysis (GRA-rule) to evaluate the properties of PCs with high purchase involvement effectively. We further integrate this GRA-rule into a web-based consultative system (WebCS). As a result, consumers could utilize this system to obtain more decisive information that facilitated buying suitable PCs. First, we took and analyzed a questionnaire entitled “Demands of Purchasing PCs” over 1,500 persons so as to could reveal the trends of consumers’ demands for buying PCs possibly. From the data analyzed as above, we set eight factors for evaluating PCs, and then construct a corresponding weighted matrix of size 15×8. The GRA-rule would utilize such a matrix to rank all products of PCs to be evaluated. Moreover, the WebCS offered three types of weighted modes, including objectivity, subjectivity, and hybrid,...
