Improved Fuzzy Comprehensive Evaluation Model of Construction Engineering Quality

Author

Fuming, Liu ; Wang, Feng ; Song, Yunfeng

Author_Institution

Hebei Univ. of Eng., Handan, China

Volume

2

fYear

2009

Firstpage

744

Lastpage

747

Abstract

In view of complexity of the construction engineering quality and fuzziness of quality evaluation, AHP-based multi-level fuzzy comprehensive evaluation become the advantage model for construction engineering quality assessment. The core computing of fuzzy evaluation is the membership conversion; however, membership conversion way at present has a problem of redundancy. Because of this, we use entropy-based data mining method and define the distinguished weight through mining the knowledge information of objective classification hidden in membership of indicators. In this way, we abstract the effective value by mining the redundancy. Then we can calculate the membership of the objective by comparable value which gets from the effective value. Thus, we construct an improved fuzzy comprehensive evaluation model of construction engineering quality.

Keywords

civil engineering computing; data mining; fuzzy set theory; quality assurance; analytic hierarchy process; construction engineering quality assessment; entropy-based data mining; membership conversion; multilevel fuzzy comprehensive evaluation; objective classification; Applicators; Automation; Buildings; Data mining; Knowledge engineering; Level control; Mathematical model; Mathematics; Quality assessment; Set theory; comparable value; construction engineering quality; d istinguished weight; membership conversion;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.415

Filename

5287795