基于F-ANP的建筑材料质量风险评价研究

计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (1): 26-30.

基于F-ANP的建筑材料质量风险评价研究

朱连滨1，2，孔祥荣3，吴宪2

1.北京工业大学经济与管理学院，北京 100022
2.北京市质量技术监督局，北京 100029
3.北京建筑材料科学研究总院有限公司，北京 100041

出版日期:2015-01-01 发布日期:2015-01-06

Study on building materials product quality risk assessment based on F-ANP

ZHU Lianbin1，2, KONG Xiangrong3, WU Xian2

1.School of Economics and Management, Beijing University of Technology, Beijing 100022, China
2.Beijing Municipal Administration of Quality and Technology Supervision, Beijing 100029, China
3.Beijing Building Materials Academy of Sciences Research, Beijing 100041, China

Online:2015-01-01 Published:2015-01-06

摘要/Abstract

摘要： 鉴于建材产品质量风险相互依赖的多属性特征和建筑材料质量风险问题的复杂性，运用网络分析法和模糊综合评价的思想，构建了基于模糊网络分析方法的建材产品质量风险评价模型；通过Super Decision软件计算各指标的权重值，实现了对建材产品质量风险高效、实用的量化评价。以建筑节能材料聚苯板为例证实了该方法的实用性和有效性。

关键词: 模糊网络分析法（F-ANP）, 建筑材料质量风险, 权重值, 聚苯板

Abstract: As the multiple attribute characteristic of building materials product quality risk and the complexity of the building materials quality risk problem and the interdependencies between risk elements and risk evaluation, the uncertainty problems in the building materials product quality risk on the basis of the evaluation index system, fuzzy network analysis process is constructed of building materials product quality risk assessment model based on the idea of network analysis method and fuzzy comprehensive evaluation. And it is used the quantitative evaluation of the building materials product quality risk assessment, through Super Decision software to calculate the weight value of every index. Case study of energy-saving building materials polystyrene board confirmes the validity and practicability of the fuzzy network analysis process method.

Key words: Fuzzy-Analysis Network（F-ANP）, risk of building materials quality, index weight value, polystyrene board

朱连滨1，2，孔祥荣3，吴宪2. 基于F-ANP的建筑材料质量风险评价研究[J]. 计算机工程与应用, 2015, 51(1): 26-30.

ZHU Lianbin1，2, KONG Xiangrong3, WU Xian2. Study on building materials product quality risk assessment based on F-ANP[J]. Computer Engineering and Applications, 2015, 51(1): 26-30.