Predicting Bidding Price in Construction using Support Vector Machine

被引：6

作者：

Petruseva, Silvana ^{[1
]}

Sherrod, Phil ^{[2
]}

Pancovska, Valentina Zileska ^{[1
]}

Petrovski, Aleksandar ^{[3
]}

机构：

[1] Ss Cyril & Methodius Univ, Fac Civil Engn, Partizanskiodredi 24, Skopje 1000, North Macedonia

[2] 6430 Annandale Cove, Brentwood, TN 37027 USA

[3] Ss Cyril & Methodius Univ, Fac Architecture, Partizanskiodredi 24, Skopje 1000, North Macedonia

来源：

TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS | 2016年 / 5卷 / 02期

关键词：

Bidding price; construction; forecasting; support vector machine; DTREG software package;

D O I：

10.18421/TEM52-04

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The bidding price can directly affect the construction firm business, so the decision what price to bid for a new project in order to sign a contract is a difficult and responsible decision. Data for fifty four tenders were collected from construction firms. Only data for twenty six tenders were contracts which were signed and used for further analysis. A model for forecasting the bidding price was developed. The model uses support vector machine. DTREG software package was used for predictive modeling. The obtained prediction was very accurate with only 2.5% error (mean absolute percentage error) of the model.

引用

页码：143 / 151

页数：9

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