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Optimization of Selecting Air Conditioning Cold/Heat Sources with Grey Relation Analysis

Optimization of Selecting Air Conditioning Cold/Heat Sources with Grey Relation Analysis
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摘要 Selection of air conditioning(AC) cold/heat sources generally concerns about certain aspects and cannot reveal the whole profile of the problems. Grey relation analysis (GRA) is a data processing method to categorize the correlation extent of compared sequences and a certain reference sequence in a system with uncertain information. It is applied to evaluating and selecting AC cold/heat sources from four main aspects, which are technology, economy, reliability, and operation and management. Case study shows that the result for selecting AC cold/heat sources with the GRA method can be more reasonable and convincible. Thus it offers a new approach for designers in heating, ventilating and air conditioning field to compare and evaluate different AC cold/heat sou rces. 寒冷 / 热采购的空气调节(交流) 的选择通常关于某些方面担心并且不能揭示这些问题的整个侧面。灰关系分析(GRA ) 是处理方法与不明确的信息在一个系统分类比较序列和某个引用顺序的关联程度的一个数据。它被用于从四个主要方面评估并且选择交流寒冷 / 热的来源,它是技术,经济,可靠性,和操作和管理。选择交流寒冷 / 热的结果与 GRA 方法采购的案例研究表演能是更合理的并且可使信服。因此,它在加热为设计者提供一条新途径,通气,比较并且评估不同 ACcold/heat 的空气调节地采购原料。
出处 《Transactions of Tianjin University》 EI CAS 2006年第3期229-234,共6页 天津大学学报(英文版)
关键词 air conditioning cold/heat sources: design scheme: optimal selection: grey relation analysis evaluation factor 空调 设计方案 灰色关联分析 评分因素 冷/热源
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