A novel interval-valued neutrosophic EDAS method: prioritization of the United Nations national sustainable development goals

Karaşan, Ali; Kahraman, Cengiz

doi:10.1007/s00500-018-3088-y

Cited by 106 publications

(42 citation statements)

References 28 publications

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“…He et al [23] designed the EDAS method for MAGDM with probabilistic uncertain linguistic information. Karasan and Kahraman [24] designed a novel interval-valued neutrosophic EDAS method. Li et al [25] defined the EDAS method for MAGDM issues under a q-rung orthopair fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

Liang

2020

Symmetry

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Multiple attribute group decision-making (MAGDM) methods have a significant influence on decision-making in a variety of strategic fields, including science, business and real-life studies. The problem of evaluation in green building energy-saving design projects could be regarded as a type of MAGDM problem. The evaluation based on distance from average solution (EDAS) method is one of the MAGDM methods, which simplifies the traditional decision-making process. Symmetry among some attributes that are known and unknown as well as between pure attribute sets and fuzzy attribute membership sets can be an effective way to solve MAGDM problems. In this paper, the classical EDAS method is extended to intuitionistic fuzzy environments to solve some MAGDM issues. First, some concepts of intuitionistic fuzzy sets (IFSs) are briefly reviewed. Then, by integrating the EDAS method with IFSs, we establish an IF-EDAS method to solve the MAGDM issues and present all calculating procedures in detail. Finally, we provide an empirical application for evaluating green building energy-saving design projects to demonstrate this novel method. Some comparative analyses are also made to show the merits of the method.

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Section: Introductionmentioning

confidence: 99%

An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

Liang

2020

Symmetry

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“…Kahraman et al [18] proposed a new EDAS method with intuitionistic fuzzy number and applied it in the selection of solid waste disposal site. Karasan [19] extended EDAS method into an interval-valued neutrosophic set and applied it to the prioritization of United Nations national sustainable development goals.…”

Section: Introductionmentioning

confidence: 99%

An Extended EDAS Method with a Single-Valued Complex Neutrosophic Set and Its Application in Green Supplier Selection

Cui

Xian

2020

Mathematics

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The single-valued complex neutrosophic set is a useful tool for handling the data with uncertainty and periodicity. In this paper, a single-valued complex neutrosophic EDAS (evaluation based on distance from average slution) model has been established and applied in green supplier selection. Firstly, the definition of single-valued complex neutrosophic set and corresponding operational laws are briefly introduced. Next, to fuse overall single-valued complex neutrosophic information, the SVCNEWA and SVCNEWG operators based on single-valued complex neutrosophic set, Einstein product and sum are proposed. Furthermore, the single-valued complex neutrosophic EDAS model has been established and all computing steps have been depicted in detail. Finally, a numerical example of green supplier selection and a comparison analysis have been given to illustrate the practicality and effectiveness of this new model.

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“…Ilieva (2018) assigned the group decision models with EDAS for interval fuzzy sets. Karasan and Kahraman (2018b) defined a novel interval-valued neutrosophic EDAS method. Karasan and Kahraman (2018a) constructed the interval-valued neutrosophic EDAS method.…”

Section: Introductionmentioning

confidence: 99%

Edas Method for Multiple Criteria Group Decision Making With Picture Fuzzy Information and Its Application to Green Suppliers Selections

Zhang

Wei

Gao

et al. 2019

Technological and Economic Development of Economy

101

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In this paper, we construct picture fuzzy EDAS model based on traditional EDAS (Evaluation based on Distance from Average Solution) model. Firstly, we briefly review the definition of picture fuzzy sets (PFSs) and introduce the score function, accuracy function and operational laws of picture fuzzy numbers (PFNs). Then, we combine traditional EDAS model for MCGDM with PFNs. In our model, it’s more accuracy and effective for considering the conflicting attributes. Finally, a numerical example for green supplier selection has been given to illustrate this new model and some comparisons between EDAS model with PFNs and PFWA, PFWG aggregation operators are also conducted to further illustrate advantages of the new method.

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A novel interval-valued neutrosophic EDAS method: prioritization of the United Nations national sustainable development goals

Cited by 106 publications

References 28 publications

An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

An Extended EDAS Method with a Single-Valued Complex Neutrosophic Set and Its Application in Green Supplier Selection

Edas Method for Multiple Criteria Group Decision Making With Picture Fuzzy Information and Its Application to Green Suppliers Selections

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