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.
机构:
City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R China
Chung, W
;
Hui, YV
论文数: 0引用数: 0
h-index: 0
机构:City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R China
Hui, YV
;
Lam, YM
论文数: 0引用数: 0
h-index: 0
机构:City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R China
机构:
City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R China
Chung, W
;
Hui, YV
论文数: 0引用数: 0
h-index: 0
机构:City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R China
Hui, YV
;
Lam, YM
论文数: 0引用数: 0
h-index: 0
机构:City Univ Hong Kong, Dept Management Sci, Kowloon Tong, Hong Kong, Peoples R China