A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets

As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and mu...
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Gespeichert in:

Autor*in:	Zhexuan Zhou [verfasserIn] Yajie Dou [verfasserIn] Xiaoxiong Zhang [verfasserIn] Danling Zhao [verfasserIn] Yuejin Tan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	wastewater treatment plans selection group decision-making intuitionistic fuzzy set TOPSIS prospect theory

Übergeordnetes Werk:	In: Journal of Environmental Engineering and Landscape Management - Vilnius Gediminas Technical University, 2018, 26(2018), 4
Übergeordnetes Werk:	volume:26 ; year:2018 ; number:4

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3846/jeelm.2018.6122

Katalog-ID:	DOAJ017423198

Internformat


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spelling	10.3846/jeelm.2018.6122 doi (DE-627)DOAJ017423198 (DE-599)DOAJ8c990ff3e6d142a295d68a0cdbcee958 DE-627 ger DE-627 rakwb eng TA170-171 Zhexuan Zhou verfasserin aut A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model. wastewater treatment plans selection group decision-making intuitionistic fuzzy set TOPSIS prospect theory Environmental engineering Yajie Dou verfasserin aut Xiaoxiong Zhang verfasserin aut Danling Zhao verfasserin aut Yuejin Tan verfasserin aut In Journal of Environmental Engineering and Landscape Management Vilnius Gediminas Technical University, 2018 26(2018), 4 (DE-627)656020164 (DE-600)2602475-5 18224199 nnns volume:26 year:2018 number:4 https://doi.org/10.3846/jeelm.2018.6122 kostenfrei https://doaj.org/article/8c990ff3e6d142a295d68a0cdbcee958 kostenfrei https://www.mla.vgtu.lt/index.php/JEELM/article/view/6122 kostenfrei https://doaj.org/toc/1648-6897 Journal toc kostenfrei https://doaj.org/toc/1822-4199 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2018 4
allfields_unstemmed	10.3846/jeelm.2018.6122 doi (DE-627)DOAJ017423198 (DE-599)DOAJ8c990ff3e6d142a295d68a0cdbcee958 DE-627 ger DE-627 rakwb eng TA170-171 Zhexuan Zhou verfasserin aut A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model. wastewater treatment plans selection group decision-making intuitionistic fuzzy set TOPSIS prospect theory Environmental engineering Yajie Dou verfasserin aut Xiaoxiong Zhang verfasserin aut Danling Zhao verfasserin aut Yuejin Tan verfasserin aut In Journal of Environmental Engineering and Landscape Management Vilnius Gediminas Technical University, 2018 26(2018), 4 (DE-627)656020164 (DE-600)2602475-5 18224199 nnns volume:26 year:2018 number:4 https://doi.org/10.3846/jeelm.2018.6122 kostenfrei https://doaj.org/article/8c990ff3e6d142a295d68a0cdbcee958 kostenfrei https://www.mla.vgtu.lt/index.php/JEELM/article/view/6122 kostenfrei https://doaj.org/toc/1648-6897 Journal toc kostenfrei https://doaj.org/toc/1822-4199 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2018 4
allfieldsGer	10.3846/jeelm.2018.6122 doi (DE-627)DOAJ017423198 (DE-599)DOAJ8c990ff3e6d142a295d68a0cdbcee958 DE-627 ger DE-627 rakwb eng TA170-171 Zhexuan Zhou verfasserin aut A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model. wastewater treatment plans selection group decision-making intuitionistic fuzzy set TOPSIS prospect theory Environmental engineering Yajie Dou verfasserin aut Xiaoxiong Zhang verfasserin aut Danling Zhao verfasserin aut Yuejin Tan verfasserin aut In Journal of Environmental Engineering and Landscape Management Vilnius Gediminas Technical University, 2018 26(2018), 4 (DE-627)656020164 (DE-600)2602475-5 18224199 nnns volume:26 year:2018 number:4 https://doi.org/10.3846/jeelm.2018.6122 kostenfrei https://doaj.org/article/8c990ff3e6d142a295d68a0cdbcee958 kostenfrei https://www.mla.vgtu.lt/index.php/JEELM/article/view/6122 kostenfrei https://doaj.org/toc/1648-6897 Journal toc kostenfrei https://doaj.org/toc/1822-4199 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2018 4
allfieldsSound	10.3846/jeelm.2018.6122 doi (DE-627)DOAJ017423198 (DE-599)DOAJ8c990ff3e6d142a295d68a0cdbcee958 DE-627 ger DE-627 rakwb eng TA170-171 Zhexuan Zhou verfasserin aut A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model. wastewater treatment plans selection group decision-making intuitionistic fuzzy set TOPSIS prospect theory Environmental engineering Yajie Dou verfasserin aut Xiaoxiong Zhang verfasserin aut Danling Zhao verfasserin aut Yuejin Tan verfasserin aut In Journal of Environmental Engineering and Landscape Management Vilnius Gediminas Technical University, 2018 26(2018), 4 (DE-627)656020164 (DE-600)2602475-5 18224199 nnns volume:26 year:2018 number:4 https://doi.org/10.3846/jeelm.2018.6122 kostenfrei https://doaj.org/article/8c990ff3e6d142a295d68a0cdbcee958 kostenfrei https://www.mla.vgtu.lt/index.php/JEELM/article/view/6122 kostenfrei https://doaj.org/toc/1648-6897 Journal toc kostenfrei https://doaj.org/toc/1822-4199 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 26 2018 4
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callnumber-first	T - Technology
author	Zhexuan Zhou
spellingShingle	Zhexuan Zhou misc TA170-171 misc wastewater treatment plans selection misc group decision-making misc intuitionistic fuzzy set misc TOPSIS misc prospect theory misc Environmental engineering A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets
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topic_title	TA170-171 A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets wastewater treatment plans selection group decision-making intuitionistic fuzzy set TOPSIS prospect theory
topic	misc TA170-171 misc wastewater treatment plans selection misc group decision-making misc intuitionistic fuzzy set misc TOPSIS misc prospect theory misc Environmental engineering
topic_unstemmed	misc TA170-171 misc wastewater treatment plans selection misc group decision-making misc intuitionistic fuzzy set misc TOPSIS misc prospect theory misc Environmental engineering
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title	A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets
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title_sort	group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets
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title_auth	A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets
abstract	As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.
abstractGer	As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.
abstract_unstemmed	As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.
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title_short	A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets
url	https://doi.org/10.3846/jeelm.2018.6122 https://doaj.org/article/8c990ff3e6d142a295d68a0cdbcee958 https://www.mla.vgtu.lt/index.php/JEELM/article/view/6122 https://doaj.org/toc/1648-6897 https://doaj.org/toc/1822-4199
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up_date	2024-07-04T01:32:43.033Z
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A group decision-making model for wastewater treatment plans selection based on intuitionistic fuzzy sets

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