【摘要】 基于经典模糊数学理论发展建立的属性识别模型可有效将复杂多因素研究对象进行综合评判和定量排序,提出以熵权-属性识别理论复合模型用于室内空气质量评价的理论内涵和计算方法,并对某高校不同类型室内环境评价进行实证研究。结果表明:教室、办公室空气质量最佳,为一级;其次是宿舍,为二级,主要污染物为氨;休息室中TVOC、苯等多项指标超标,属于三级,亟待改善。该模型不仅能科学合理地反映不同类型室内空气质量的综合现状,同时能直观体现出各评价因子的贡献差异和特征,是一种简便明晰、结果客观的室内空气质量综合评价新方法。更多还原

【Abstract】 Indoor air quality assessment is an important foundation of indoor environmental protection. Attribute recognition theory model can apply to assessment and rank of multiple-factor analysis,which is an effective method based on fuzzy mathematics theory. In this paper,we firstly illuminated the theory of entropy weight-attribute recognition model and its calculation method,then applied it for the empircial analysis on different types of indoor environment assessment in a university. The results indicated that the indoor air quality level of the classroom and the office were both at grade Ⅰ. While that of the dormitory was at grade Ⅱ with the main pollutant of ammonia; the lounge was at grade Ⅲ with several pollution indicators exceeding their corresponding standards. The model can reflect not only general air quality of different apartments,but also discrepancies of evaluation factors. The model was proved to be able to reflect the pollution status of indoor air quality in the study area,directly and objectively.更多还原