| 摘要: |
| 为科学评价日光温室墙体的综合性能,将熵权法与模糊优选法相结合,建立温室墙体性能多层次多目标的评价模型,利用信息熵理论确定各层评价指标熵权权重,最终采用模糊优选法得到墙体性能优属度。对20种模拟日光温室墙体的热性能和经济性进行综合评价,结果表明:评价对象平均熵值为97.0%,熵权权重在温度、热流、吸放热时间及造价4个方面所占比重分别为55.1%、19.4%、17%和8.4%,验证了该评价体系的科学性。该模型为评价温室墙体综合性能提供了新方法,将此评价方法与温室模拟模型相结合,可用于温室墙体的设计优化与性能预测。 |
| 关键词: 熵权法 模糊优选法 评价模型 优属度 优化预测 |
| DOI：10.11841/j.issn.1007-4333.2015.05.32 |
| 投稿时间：2014-10-25 |
| 基金项目:国家"863"计划资助项目(2013AA102407-5) |
|
| The application of weighted entropy and fuzzy optimization method in the evaluation of comprehensive performance of north wall in Chinese greenhouse |
|
ZHANG Xin1, WANG Hong-li1, LI Kai2, ZHANG Qing1
|
| (1.College of Horticulture, Northwest A&F University, Yangling 712100, China;2.College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China) |
| Abstract: |
| This paper establishes a multi-hierarchy and multi-objective evaluation model combined with weighted entropy method and fuzzy optimization method for the evaluation of heat preservation effect of north wall in Chinese greenhouse.The multi-hierarchy and multi-objective evaluation model acquire the membership degree of the performances of north walls which depends on the Information Entropy to ensure the weights of entropy of evaluating indexes in each hierarchy.The result shows that the average entropy value of evaluation model for 20 greenhouses is 97.0% and the entropy weight of temperature,heat flux,time and cost are 55.1%,19.4%,17% and 8.4% respectively.Consequently,this model takes a high validity by valuing the properties of heat preservation and economic efficiency on 20 kinds of north wall (simulation) in Chinese greenhouse.It offers an innovative and developed approach to assess the comprehensive performance of north wall in Chinese greenhouse and is also expected to be applied on the optimization design of greenhouse wall in the future,which can be incorporated with the greenhouse simulation. |
| Key words: weighted entropy method fuzzy optimization method evaluation model membership degree optimization and prediction |
