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

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 282
Author(s):  
Dongsheng Xu ◽  
Xiangxiang Cui ◽  
Huaxiang Xian
Keyword(s):  
Supplier Selection ◽  
Neutrosophic Set ◽  
Comparison Analysis ◽  
New Model ◽  
Green Supplier Selection ◽  
Numerical Example ◽  
Operational Laws ◽  
Definition Of ◽  
Einstein Product

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.

Supplier Selection by the Pair of AR-NF-IDEA Models

2012 ◽  
pp. 349-367
Author(s):  
Reza Saen ◽  
Mark Gershon
Keyword(s):  
Supply Chain ◽  
Ordinal Data ◽  
Supplier Selection ◽  
Weight Restrictions ◽  
New Model ◽  
Numerical Example ◽  
Nondiscretionary Factors

Supplier selection is the process by which suppliers are reviewed, evaluated, and chosen to become part of a company’s supply chain. To select the best suppliers in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, this paper proposes a new model considering all of these assumptions. A numerical example demonstrates the application of the proposed method.

scholarly journals GREEN SUPPLIER SELECTION BASED ON CODAS METHOD IN PROBABILISTIC UNCERTAIN LINGUISTIC ENVIRONMENT

2021 ◽  
Vol 0 (0) ◽  
pp. 1-20
Author(s):  
Cun Wei ◽  
Jiang Wu ◽  
Yanfeng Guo ◽  
Guiwu Wei
Keyword(s):  
Supplier Selection ◽  
Optimal Choice ◽  
Entropy Weight ◽  
Green Supplier Selection ◽  
Numerical Example

Probabilistic uncertain linguistic sets (PULTSs) have widely been used in MADM or MAGDM. The CODAS method, which is a novel MADM or MAGDM tool, aims to acquire the optimal choice which have the largest Euclidean & Hamming distances from the NIS. This paper designs the probabilistic uncertain linguistic CODAS (PUL-CODAS) method with sine entropy weight. Finally, a numerical example for green supplier selection is given and the obtained results are compared with some existing models.

scholarly journals EDAS METHOD FOR MULTIPLE CRITERIA GROUP DECISION MAKING WITH PICTURE FUZZY INFORMATION AND ITS APPLICATION TO GREEN SUPPLIERS SELECTIONS

2019 ◽  
Vol 25 (6) ◽  
pp. 1123-1138 ◽  
Author(s):  
Siqi Zhang ◽  
Guiwu Wei ◽  
Hui Gao ◽  
Cun Wei ◽  
Yu Wei
Keyword(s):  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Score Function ◽  
Aggregation Operators ◽  
Fuzzy Information ◽  
Operational Laws ◽  
Definition Of ◽  
Green Suppliers ◽  
Picture Fuzzy Sets

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.

Supplier Selection by the Pair of AR-NF-IDEA Models

2010 ◽  
Vol 3 (4) ◽  
pp. 25-41 ◽  
Author(s):  
Reza Saen ◽  
Mark Gershon
Keyword(s):  
Supply Chain ◽  
Ordinal Data ◽  
Supplier Selection ◽  
Weight Restrictions ◽  
New Model ◽  
Numerical Example ◽  
Nondiscretionary Factors

Supplier selection is the process by which suppliers are reviewed, evaluated, and chosen to become part of a company’s supply chain. To select the best suppliers in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, this paper proposes a new model considering all of these assumptions. A numerical example demonstrates the application of the proposed method.

scholarly journals Evaluation Based on Distance from Average Solution Method for Multiple Criteria Group Decision Making under Picture 2-Tuple Linguistic Environment

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 243 ◽  
Author(s):  
Siqi Zhang ◽  
Hui Gao ◽  
Guiwu Wei ◽  
Yu Wei ◽  
Cun Wei
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Solution Method ◽  
Group Decision ◽  
Score Function ◽  
Multiple Criteria ◽  
Weighted Averaging ◽  
Operational Laws ◽  
Definition Of

In this paper, we design the EDAS (evaluation based on distance from average solution) model with picture 2-tuple linguistic numbers (P2TLNs). First, we briefly reviewed the definition of P2TLSs and introduced the score function, accuracy function, and operational laws of P2TLNs. Then, we combined the traditional EDAS model for multiple criteria group decision making (MCGDM) with P2TLNs. Our presented model was more accurate and effective for considering the conflicting attributes. Finally, a numerical case for green supplier selection was given to illustrate this new model, and some comparisons were also conducted between the picture 2-tuple linguistic weighted averaging (P2TLWA), picture 2-tuple linguistic weighted geometric (P2TLWG) aggregation operators and EDAS model with P2TLNs, to further illustrate the advantages of the new method.

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

Representing a probabilistic linguistic term set with an interval type-2 fuzzy set and the application in green supplier selection

2021 ◽  
pp. 1-18
Author(s):  
Le Jiang ◽  
Hongbin Liu
Keyword(s):  
Decision Making ◽  
Membership Function ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Symbolic Model ◽  
Green Supplier Selection ◽  
Linguistic Term ◽  
Interval Type ◽  
Decision Making Model

The use of probabilistic linguistic term sets (PLTSs) means the process of computing with words. The existing methods computing with PLTSs mainly use symbolic model. To provide a semantic model for computing with PLTSs, we propose to represent a PLTS by using an interval type-2 fuzzy set (IT2FS). The key step is to compute the footprint of uncertainty of the IT2FS. To this aim, the upper membership function is computed by aggregating the membership functions of the linguistic terms contained in the PLTS, and the lower membership function is obtained by moving the upper membership function downward with the step being total entropy of the PLTS. The comparison rules, some operations, and an aggregation operator for PLTSs are introduced. Based on the proposed method of computing with PLTSs, a multi-criteria group decision making model is introduced. The proposed decision making model is then applied in green supplier selection problem to show its feasibility.

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