An integrated decision-making model for sustainable photovoltaic module supplier selection based on combined weight and cumulative prospect theory

Energy ◽  
2019 ◽  
Vol 181 ◽  
pp. 1235-1251 ◽  
Author(s):  
Yunna Wu ◽  
Yiming Ke ◽  
Chuanbo Xu ◽  
Lingwenying Li
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Supplier Selection ◽  
Cumulative Prospect Theory ◽  
Photovoltaic Module ◽  
Integrated Decision Making ◽  
Decision Making Model

An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital

2020 ◽  
Vol 33 (5) ◽  
pp. 965-989 ◽  
Author(s):  
Morteza Yazdani ◽  
Ali Ebadi Torkayesh ◽  
Prasenjit Chatterjee
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Public Procurement ◽  
Selection Problem ◽  
Public Healthcare ◽  
Content Type ◽  
Development Goals ◽  
Integrated Decision Making ◽  
Decision Making Model ◽  
Supplier Selection Problem

PurposeIn this study, an integrated decision-making model consisting of decision-making trial and evaluation laboratory (DEMATEL), best worst method (BWM) and a modified version of evaluation based on distance from average solution (EDAS) methods is proposed for supplier selection problem in a public procurement system considering sustainable development goals.Design/methodology/approachDEMATEL and BWM methods are used to determine weights of the criteria that are defined for the supplier selection problem. Weight aggregation method is applied to combine the weights obtained from these two methods. A modified version of EDAS method is then used in order to rank the alternative suppliers.FindingsThe proposed decision-making model is investigated for a supplier selection problem for a hospital in Spain. The validity of the results is checked using comparison with other decision-making methods and several performance analysis tests.Practical implicationsThe proposed multi-criteria decision-making (MCDM) model contributes to the healthcare supply chain management (SCM) and aims to lead the policy makers in selecting the best supplier.Originality/valueThere is no such study that combines DEMATEL and BWM together for weight generation. The application of the modified EDAS method is also new. In real time situations, the decision experts may confront to the difficulty of using BWM while identifying the best and the worst criteria choices. The idea of using DEMATEL is to aid the experts to make them enable in distinguishing between the best/worst criteria and handle BWM easily.

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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