Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects

For decision-making on the attributes and time weights existing in a dynamic intuitionistic fuzzy environment, a new ATS-generalized weighted intuitionistic fuzzy Bonferroni mean operator MADM model based on dynamic comprehensive time entropy and an ATS-generalized weighted intuitionistic fuzzy Bonf...

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Main Authors: Rongxin Zhang, Lvjiang Yin, Jing Jia, Yuanxing Yin
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2019/3519195
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author Rongxin Zhang
Lvjiang Yin
Jing Jia
Yuanxing Yin
author_facet Rongxin Zhang
Lvjiang Yin
Jing Jia
Yuanxing Yin
author_sort Rongxin Zhang
collection DOAJ
description For decision-making on the attributes and time weights existing in a dynamic intuitionistic fuzzy environment, a new ATS-generalized weighted intuitionistic fuzzy Bonferroni mean operator MADM model based on dynamic comprehensive time entropy and an ATS-generalized weighted intuitionistic fuzzy Bonferroni mean operator was established by taking into consideration the intrinsic correlations between attributes. An intuitionistic fuzzy decision matrix with the same time sequence was integrated into the model. According to the idea of “laying more stress on the present than on the past,” a time sequence weight considering both the subjective preferences and the objective information of samples was obtained to overcome the irrationality of subjective value assignment on existing time sequence weight and ideal time weighting. Based on dynamic comprehensive time entropy, the model not only reflects the degree of importance attached to the latest data but also gives consideration to the subjective preferences of decision-makers in order to set a new vector for time sequence weight. The dynamic intuitionistic fuzzy weighted operator was used to conduct aggregation to obtain a dynamic intuitionistic fuzzy comprehensive value, and the obtained results are sorted by the sorting function of intuitionistic fuzzy sets. The best alternative was selected and applied to a case study on green building project selection. The results indicate that the proposed method is comprehensive, scientific, and feasible.
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institution Kabale University
issn 1687-8086
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language English
publishDate 2019-01-01
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series Advances in Civil Engineering
spelling doaj-art-8c81014177a24f3091d1ceea994d9c782025-02-03T06:01:33ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/35191953519195Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building ProjectsRongxin Zhang0Lvjiang Yin1Jing Jia2Yuanxing Yin3School of Economics and Management, Hubei University of Automotive Technology, 167 Checheng West Road, Shiyan City, Hubei, ChinaSchool of Economics and Management, Hubei University of Automotive Technology, 167 Checheng West Road, Shiyan City, Hubei, ChinaSchool of Economics and Management, Hubei University of Automotive Technology, 167 Checheng West Road, Shiyan City, Hubei, ChinaSchool of Economics and Management, Hubei University of Automotive Technology, 167 Checheng West Road, Shiyan City, Hubei, ChinaFor decision-making on the attributes and time weights existing in a dynamic intuitionistic fuzzy environment, a new ATS-generalized weighted intuitionistic fuzzy Bonferroni mean operator MADM model based on dynamic comprehensive time entropy and an ATS-generalized weighted intuitionistic fuzzy Bonferroni mean operator was established by taking into consideration the intrinsic correlations between attributes. An intuitionistic fuzzy decision matrix with the same time sequence was integrated into the model. According to the idea of “laying more stress on the present than on the past,” a time sequence weight considering both the subjective preferences and the objective information of samples was obtained to overcome the irrationality of subjective value assignment on existing time sequence weight and ideal time weighting. Based on dynamic comprehensive time entropy, the model not only reflects the degree of importance attached to the latest data but also gives consideration to the subjective preferences of decision-makers in order to set a new vector for time sequence weight. The dynamic intuitionistic fuzzy weighted operator was used to conduct aggregation to obtain a dynamic intuitionistic fuzzy comprehensive value, and the obtained results are sorted by the sorting function of intuitionistic fuzzy sets. The best alternative was selected and applied to a case study on green building project selection. The results indicate that the proposed method is comprehensive, scientific, and feasible.http://dx.doi.org/10.1155/2019/3519195
spellingShingle Rongxin Zhang
Lvjiang Yin
Jing Jia
Yuanxing Yin
Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects
Advances in Civil Engineering
title Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects
title_full Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects
title_fullStr Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects
title_full_unstemmed Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects
title_short Application of ATS-GWIFBM Operator Based on Improved Time Entropy in Green Building Projects
title_sort application of ats gwifbm operator based on improved time entropy in green building projects
url http://dx.doi.org/10.1155/2019/3519195
work_keys_str_mv AT rongxinzhang applicationofatsgwifbmoperatorbasedonimprovedtimeentropyingreenbuildingprojects
AT lvjiangyin applicationofatsgwifbmoperatorbasedonimprovedtimeentropyingreenbuildingprojects
AT jingjia applicationofatsgwifbmoperatorbasedonimprovedtimeentropyingreenbuildingprojects
AT yuanxingyin applicationofatsgwifbmoperatorbasedonimprovedtimeentropyingreenbuildingprojects