Selection of new design gas carriers by using fuzzy EVAMIX method

•This paper extends the EVAMIX (EVAluation of MIXed Data) method.•These extensions are fuzzy extension, group decision and expert prioritization.•Four criteria and three alternatives are determined for gas transportation industry.•Ship selection is conducted as an empirical study.•The ranking result...

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Published inAsian Journal of Shipping and Logistics Vol. 37; no. 1; pp. 91 - 104
Main Authors Yazır, Devran, Şahin, Bekir, Yip, Tsz Leung
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2021
Elsevier
한국해운물류학회
Subjects
Decision-making
EVAMIX
Expert systems
Fuzzy sets
Shipping industry
무역학
Decision-making
Fuzzy sets
EVAMIX
Expert systems
Shipping industry
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Abstract •This paper extends the EVAMIX (EVAluation of MIXed Data) method.•These extensions are fuzzy extension, group decision and expert prioritization.•Four criteria and three alternatives are determined for gas transportation industry.•Ship selection is conducted as an empirical study.•The ranking result reflects the recent oversupply of LNG carriers. This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decision-making method in three perspectives. First, the problem is investigated in a fuzzy environment. Secondly, multiple decision-makers involve in decision-making process. It allows the moderator to benefit the opinions of multiple experts. Third, experts are assigned a coefficient considering their professional career represented in years. In the conventional approach, the experts have assumed identical, but expert prioritization deals with the instability. The extensions applied in this study are currently available in the literature, and it is used for the first time in the EVAMIX method. This method can be applied to decision-making problems in any research field. A study is carried out to combine the pre-determined types of ships with reliable quantitative and qualitative criteria and create data for new investors and shipowners in the selection of ships using a novel mathematical approach. As a result of the study, preferences are modelled for candidate ships, and database and value options are presented to decision-makers, ship owners, and investors. The qualitative and quantitative data discussed in this selection process to support the decision-making process and can be designed appropriately to be used in similar selection problems. The most suitable vessel to be selected from the candidate's vessels is carried out based on the existing criteria being evaluated; therefore, it is a reference for similar methodologies.
AbstractList •This paper extends the EVAMIX (EVAluation of MIXed Data) method.•These extensions are fuzzy extension, group decision and expert prioritization.•Four criteria and three alternatives are determined for gas transportation industry.•Ship selection is conducted as an empirical study.•The ranking result reflects the recent oversupply of LNG carriers. This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decision-making method in three perspectives. First, the problem is investigated in a fuzzy environment. Secondly, multiple decision-makers involve in decision-making process. It allows the moderator to benefit the opinions of multiple experts. Third, experts are assigned a coefficient considering their professional career represented in years. In the conventional approach, the experts have assumed identical, but expert prioritization deals with the instability. The extensions applied in this study are currently available in the literature, and it is used for the first time in the EVAMIX method. This method can be applied to decision-making problems in any research field. A study is carried out to combine the pre-determined types of ships with reliable quantitative and qualitative criteria and create data for new investors and shipowners in the selection of ships using a novel mathematical approach. As a result of the study, preferences are modelled for candidate ships, and database and value options are presented to decision-makers, ship owners, and investors. The qualitative and quantitative data discussed in this selection process to support the decision-making process and can be designed appropriately to be used in similar selection problems. The most suitable vessel to be selected from the candidate's vessels is carried out based on the existing criteria being evaluated; therefore, it is a reference for similar methodologies.
This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decisionmaking method in three perspectives. First,the problem is investigated in a fuzzy environment. Secondly, multiple decision-makers involve in decision-making process. It allows the moderator to benefitthe opinions of multiple experts. Third, experts are assigned a coefficient considering their professional career represented in years. In the conventional approach, the experts have assumed identical, but expert prioritization deals with the instability. The extensions applied in this study are currently available in the literature, and it is used for the first time in the EVAMIX method. This method can be applied to decisionmaking problems in any research field. A study is carried out to combine the pre-determined types of ships with reliable quantitative and qualitative criteria and create data for new investors and shipowners in the selection of ships using a novel mathematical approach. As a result of the study, preferences are modelled for candidate ships, and database and value options are presented to decision-makers, ship owners, and investors. The qualitative and quantitative data discussed in this selection process to support the decision-making process and can be designed appropriately to be used in similar selection problems. The most suitable vessel to be selected from the candidate’s vessels is carried out based on the existing criteria being evaluated; therefore, it is a reference for similar methodologies. KCI Citation Count: 0
This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decision-making method in three perspectives. First, the problem is investigated in a fuzzy environment. Secondly, multiple decision-makers involve in decision-making process. It allows the moderator to benefit the opinions of multiple experts. Third, experts are assigned a coefficient considering their professional career represented in years. In the conventional approach, the experts have assumed identical, but expert prioritization deals with the instability. The extensions applied in this study are currently available in the literature, and it is used for the first time in the EVAMIX method. This method can be applied to decision-making problems in any research field. A study is carried out to combine the pre-determined types of ships with reliable quantitative and qualitative criteria and create data for new investors and shipowners in the selection of ships using a novel mathematical approach. As a result of the study, preferences are modelled for candidate ships, and database and value options are presented to decision-makers, ship owners, and investors. The qualitative and quantitative data discussed in this selection process to support the decision-making process and can be designed appropriately to be used in similar selection problems. The most suitable vessel to be selected from the candidate's vessels is carried out based on the existing criteria being evaluated; therefore, it is a reference for similar methodologies.
Author Şahin, Bekir
Yip, Tsz Leung
Yazır, Devran
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Keywords Decision-making
Fuzzy sets
EVAMIX
Expert systems
Shipping industry
Language English
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한국해운물류학회
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Snippet •This paper extends the EVAMIX (EVAluation of MIXed Data) method.•These extensions are fuzzy extension, group decision and expert prioritization.•Four criteria...
This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decision-making method in three perspectives. First, the problem is...
This paper extends the EVAMIX (EVAluation of MIXed Data) as an exemplary multi-criteria decisionmaking method in three perspectives. First,the problem is...
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SubjectTerms Decision-making
EVAMIX
Expert systems
Fuzzy sets
Shipping industry
무역학
Title Selection of new design gas carriers by using fuzzy EVAMIX method
URI https://dx.doi.org/10.1016/j.ajsl.2020.10.001
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