應(yīng)用灰關(guān)聯(lián)分析於網(wǎng)上個(gè)人電腦采購(gòu)doc-展示頁(yè)
2025-07-27 03:32本頁(yè)面
【正文】 單、書(shū)刊雜誌或洽詢(xún)親友與同事等管道來(lái)獲取，再經(jīng)過(guò)有限度地商品比較之後才至相關(guān)賣(mài)場(chǎng)或店家選購(gòu)適合自己需要的電腦及其週邊設(shè)備。但是，一般大眾或家庭對(duì)於電腦產(chǎn)品的配備與相關(guān)的週邊設(shè)備並不甚熟悉或完全一無(wú)所悉，所以在購(gòu)買(mǎi)電腦商品時(shí)將嚴(yán)重欠缺決策與判斷的能力去自由地選擇電腦搭配，且所購(gòu)得的電腦於日後的使用也未必能符合自己原始的需求。投稿受理時(shí)間：90年10月8日 審查通過(guò)時(shí)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 (GRArule) to evaluate the properties of PCs with high purchase involvement effectively. We further integrate this GRArule into a webbased 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 158. The GRArule 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, to be conformed with diverse consumers’ demands and preferences. Last, we implemented a prototype of WebCS for examining the effects of GRArule.Keywords: grey relational analysis, webbased consultative system, purchase involvement, weighted matrix, questionnaire.2187 / 15壹、緒論由於全球電腦科技與網(wǎng)際網(wǎng)路快速地普及，同時(shí)上網(wǎng)接線(xiàn)率也急速地攀升之中，這造就了網(wǎng)際網(wǎng)路的高度使用並已透露出無(wú)限的商機(jī)，使得電子商務(wù)（Electronic Commerce）與行動(dòng)商務(wù)（Mobile Commerce）儼然已經(jīng)成為新世紀(jì)最新穎的消費(fèi)趨勢(shì)[3,5,7]。最後，完成一雛型系統(tǒng)以為驗(yàn)證之用。於作法上，為了探討消費(fèi)者購(gòu)置電腦的需求趨勢(shì)，先針對(duì)約1500份「?jìng)€(gè)人電腦購(gòu)買(mǎi)意向」的有效問(wèn)卷調(diào)查表作交叉分析。1應(yīng)用灰關(guān)聯(lián)分析於網(wǎng)上個(gè)人電腦採(cǎi)購(gòu)Appling Grey Relational Analysis to Purchase Personal Computers Via Web段裘慶*楊鍵樵ChiuChing Tuan*ChenChau Yang國(guó)立臺(tái)北科技大學(xué)電子工程系*國(guó)立臺(tái)灣科技大學(xué)電子工程系 摘要個(gè)人電腦設(shè)備之購(gòu)置已是現(xiàn)今一般大眾或家庭所必須面臨的一項(xiàng)重要課題。為此，本文提出以「灰關(guān)聯(lián)分析」應(yīng)用於建置一「網(wǎng)上個(gè)人電腦採(cǎi)購(gòu)」諮詢(xún)系統(tǒng)，以提供決策性訊息來(lái)協(xié)助消費(fèi)者採(cǎi)購(gòu)屬於高購(gòu)買(mǎi)涉入之電腦產(chǎn)品。之後，依所得之?dāng)?shù)據(jù)來(lái)制定「灰關(guān)聯(lián)式」採(cǎi)購(gòu)決策法則所需的產(chǎn)品評(píng)估要項(xiàng)與權(quán)重矩陣表，並制定客觀式、主觀式與綜合式等三種權(quán)重模式以為選用。「灰關(guān)聯(lián)式採(cǎi)購(gòu)法則」關(guān)鍵詞：灰關(guān)聯(lián)分析、網(wǎng)上採(cǎi)購(gòu)諮詢(xún)、購(gòu)買(mǎi)涉入、權(quán)重矩陣表、問(wèn)卷調(diào)查。 儘管電腦的深度使用在人們?nèi)粘Ｗ飨⒅兴鶃?zhàn)據(jù)的地位已是日趨重要。本研究所提之「灰關(guān)聯(lián)式網(wǎng)上個(gè)人電腦採(cǎi)購(gòu)諮詢(xún)系統(tǒng)」，其目的在於協(xié)助消費(fèi)大眾能經(jīng)由系統(tǒng)的互動(dòng)式誘導(dǎo)來(lái)了解自己真正的商品需求，並進(jìn)一步地尋得合適的電腦搭配，藉以降低因購(gòu)物失調(diào)與金錢(qián)浪費(fèi)而令人不悅的沮喪現(xiàn)象。顯然地，如此程序是既耗時(shí)又費(fèi)力，且未必能如期順利地完成選購(gòu)。當(dāng)選定自己所需的電腦後，只需要在其網(wǎng)站上直接填單購(gòu)買(mǎi)即可。傳統(tǒng)的購(gòu)買(mǎi)方式不僅需要耗費(fèi)大量時(shí)間和精力去作資
環(huán)評(píng)公示相關(guān)推薦
鄂ICP備17016276號(hào)-1