Evaluating and ranking energy performance of office buildings using fuzzy measure and fuzzy integral

被引:25
作者
Lee, Wen-Shing [1 ]
机构
[1] Natl Taipei Univ Technol, Dept Energy & Refrigerating Air Conditioning Engn, Taipei, Taiwan
关键词
Energy performance; Multiple attribute decision-making; Fuzzy measure; Fuzzy integral; DATA ENVELOPMENT ANALYSIS; GENETIC ALGORITHMS; BENCHMARKING; EFFICIENCY; IDENTIFICATION; MODEL;
D O I
10.1016/j.enconman.2009.09.012
中图分类号
O414.1 [热力学];
学科分类号
摘要
Traditional methods of evaluating energy performance of building tend to focus on comparing the observed energy consumption with the average value of energy consumption by regression method or theoretical value calculated by simulation analysis. This paper attempted to evaluate and rank the energy performance of buildings from the perspective of multiple objective outputs. Specifically, considering the interactions between the weights of attributes of building energy performance, this paper adopts fuzzy measure and fuzzy integral, one of the multiple attribute decision-making approaches, to rank the evaluated buildings. The energy performance of 47 office buildings in Taiwan were evaluated and ranked to serve as a case study to illustrate the procedure and effectiveness of the proposed approach. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:197 / 203
页数:7
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