Improved Fuzzy Comprehensive Evaluation Model of Construction Engineering Quality

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.