The application of fuzzy system method to the cost estimation of construction works

Author

Yang, Song-Sen ; Xu, Jing

Author_Institution

Sch. of Civil Eng., Qingdao Technol. Univ., Qingdao, China

Volume

2

fYear

2010

fDate

11-14 July 2010

Firstpage

654

Lastpage

658

Abstract

Fuzzy system method is applied to the cost estimation of construction works. In the model, the inputs are main equipment cost, single building area, number of layers, story height. The output is the cost of per square meter. By the sample data training, fuzzy rules can be extracted. All rules constructed a complete base of fuzzy IF-THEN rules. Using the singleton fuzzifier, the product inference engine and the center-average defuzzifier, the fuzzy system model of cost estimation is obtained. Experimental results show the maximal relative error of the predicted results is 3.2%. The prediction accuracy of the fuzzy model is satisfied with industry practice.

Keywords

construction industry; costing; data mining; fuzzy systems; inference mechanisms; center average defuzzifier; construction works; cost estimation; data training; fuzzy IF-THEN rules; fuzzy system method; maximal relative error; product inference engine; singleton fuzzifier; Buildings; Construction industry; Engines; Estimation; Fuzzy systems; Machine learning; Predictive models; Construction works; cost estimation of constructions; cost of per square meter; fuzzy rule; fuzzy system method;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5580554

Filename

5580554