Title :
Improved Fuzzy Comprehensive Evaluation Model of Construction Engineering Quality
Author :
Fuming, Liu ; Wang, Feng ; Song, Yunfeng
Author_Institution :
Hebei Univ. of Eng., Handan, China
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;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.415
