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購(gòu)車(chē)問(wèn)題的數(shù)學(xué)模型
購(gòu)車(chē)問(wèn)題的數(shù)學(xué)模型
摘要
本文針對(duì)不同人群購(gòu)車(chē)的考慮因素，以及市場(chǎng)上幾款典型用車(chē)的各項(xiàng)性能指標(biāo)，使用層次分析法（AHP）建立數(shù)學(xué)模型分析各種汽車(chē)的市場(chǎng)前景。層次分析法是對(duì)1些較為復(fù)雜、較為模糊的問(wèn)題作出決策的簡(jiǎn)易方法，它特別適用于那些難于完全定量分析的問(wèn)題。模型分為3個(gè)層次：目標(biāo)層（購(gòu)車(chē)），準(zhǔn)則層（汽車(chē)性能指標(biāo)）和方案層（汽車(chē)購(gòu)買(mǎi)選擇）。目標(biāo)層是分析問(wèn)題的預(yù)定目標(biāo)，也就是購(gòu)車(chē)。準(zhǔn)則層包含了為實(shí)現(xiàn)目標(biāo)所涉及的中間環(huán)節(jié)，根據(jù)不同人群在購(gòu)車(chē)時(shí)所考慮因素，建立正互反矩陣，計(jì)算出權(quán)重向量，得出不同人群購(gòu)車(chē)時(shí)的偏重因素。方案層包括了為實(shí)現(xiàn)目標(biāo)可供選擇的各種措施或決策方案，也是通過(guò)計(jì)算權(quán)重向量，得出各種汽車(chē)在同1指標(biāo)中的優(yōu)劣。最后將準(zhǔn)則層和方案層進(jìn)行整合，即可得出不同人群可供選擇的車(chē)型。把模型得出的結(jié)論和搜集的資料進(jìn)行對(duì)比，可以發(fā)現(xiàn)兩者的結(jié)論基本1致，說(shuō)明該模型和實(shí)際比較貼近，結(jié)果比較合理。
關(guān)鍵詞：購(gòu)車(chē)問(wèn)題；決策；層次分析；1致性；權(quán)重向量。
Abstract
The article is concerning consideration automobiles and various function targets of above typical cars , I established Maths model to analyze market prospects of different cars by use of AHP . It fives easy solutions to some complex and unclear problems , and is suitable for those problems not solved by quantitative analysis in particular . This model consists of three gradations : Aim(purchasing the car) , principle(capability target) and plan(choosing the car) . The aim is a predetermined one for problem analysis , which is automobile purchase . The principle includes middle segments involved for the realization of goals . According to adequate consideration of different consumer needs , setting up matrix , counting vectors ,I get the preferred elements of them to purchase a car . The plan includes kinds of suggestions for choices . Then advantages and disadvantages of the car are concluded under the models are finished for buyers to choose . Through the comparison between the conclusion from the model and material collected if the result is mostly the same , that means the model is close to reality and the the result is reasonable .
Key words : purchasing , decisopn , consistency , matrix
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