Picture fuzzy MABAC method based on prospect theory for multiple attribute group decision making and its application to suppliers selection

In the garment manufacturing industry, purchasing management is an important link. The materials of making clothes often need high cost. In addition, customers put forward a request in the quality of clothes. Thus, choosing an optimal supplier is an essential part of job. Reaching cooperation with an optimal supplier not only can help garment manufacturer improve the quality of clothes but also is benefit to reduce the cost of producing. Most importantly, it can improve the competitiveness of manufacture enterprises. So, it is important for managers to find an optimal supplier and make a cooperation with it. In this paper, we analysis an issue about choosing an optimal supplier during four different suppliers. With analyzing this problem, we can introduce an extended method under picture fuzzy environment to evaluate and choose an optimal supplier. In this article, we describe some basic knowledges about picture fuzzy sets (PFSs) and picture fuzzy numbers (PFNs). Then, we introduce the extension of MABAC method which is on the basis of prospect theory (PT) with picture fuzzy numbers (PF-PT-MABAC) and utilize the PF-PT-MABAC model to evaluate different suppliers to choose an optimal supplier. Finally, we compare the result of PF-PT-MABAC with the result of traditional MABAC, PFWG operators and traditional TODIM method to test the efficiency of PF-PT-MABAC model.

An integrated approach for fire extinguishers selection with DEMATEL and TODIM methods

Fire is a type of disaster that has caused significant loss of property and life from past to present. If the necessary measures are not taken, they cause serious property damage, interruption of processes, death and injury. Especially in industrial facilities, the density of flammable, explosive and hazardous chemicals, chimneys, hot surfaces, static electricity and electrical hazards, hot work increases the risk of fire. Therefore, necessary precautions should be taken. The choice of extinguisher device, which includes both passive and active precaution in fire safety, provides the correct intervention in case of possible fire. In case of being a fire, it is necessary to quickly and easily extinguish without damaging the system. For this reason, choosing the right extinguisher is important. In this study, effective criteria were determined by negotiating with supplier companies for the selection of suitable fire extinguishers. After scoring for the criteria, the weights of the criteria were determined by DEMATEL method. With TODIM method, appropriate fire extinguishing agent selection and sequencing were made.

The application of probabilistic linguistic CODAS method based on new score function in multi-criteria decision-making

Probabilistic linguistic term sets (PLTSs) play an important role in multi-criteria decision-making(MCDM) problems because it can not only describe objects with several possible linguistic terms, but also represent the proportion of each linguistic term, which can effectively avoid the distortion of decision information to a greater extent and ensure the credibility of decision results. First, to compare PLTS more simply and reasonably, we define a new score function that takes into account partial deviations. Then considering the superiority of the classic combinative distance-based assessment (CODAS) method in the complete representation of information, it is extended to the probabilistic linguistic environment. Subsequently, we improved the classic CODAS method and proposed the PL-CODAS method. Finally, we apply the PL-CODAS method to a cases of venture investors choosing emerging companies, and we compare the proposed method with PL-TOPSIS method, PL-TODIM method and PL-MABAC method to verify its applicability and effectiveness.

CPT-TODIM METHOD FOR INTERVAL NEUTROSOPHIC MAGDM AND ITS APPLICATION TO THIRD-PARTY LOGISTICS SERVICE PROVIDERS SELECTION

The multiple attribute group decision making (MAGDM) has always been a concern in the research field. In this article, we establish the interval neutrosophic TODIM method based on cumulative prospect theory (CPT-IN-TODIM) for MAGDM issue. This new developed CPTIN-TODIM method has markedly superiority in describing decision maker’s psychological states, which utilizes the weight function to adjust weighting attributes distinguishing from the classical TODIM method. Then, this new developed method has been applied to select the third-party logistics service providers and been expound on the disparity with existing methods. Finally, the results of contrastive analysis indicate that this new developed method can lead to the appropriate conclusion and sticks out the differences between alternatives to provide clearer direction. Hence, the new developed CPT-IN-TODIM method is reliable and valid.

A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus

To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisão interativa multicrit e ´ rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model.

Comparative analysis of the todim method adherence to prospect theory

Prospect Theory provides a broad and solid frame of reference for modeling the decision making of rational agents. In the early 1990s, the structure of Prospect Theory was used to propose a method to aid a multicriteria decision based on the process of paired comparison. The research reported in this article has empirically assessed the adherence of the mathematical model of the original TODIM method, together with its variations available in the literature, to Prospect Theory and compared them with a multicriteria method that does not use that theory. From a comparative analysis, it was realized that the different variations of the TODIM method regarding the incorporation of Prospect Theory’s rationality within the context of Multicriteria Decision Aid still do not bring the benefits of an already consolidated theory to the context of decision-making aid. Thus, it is suggested that further studies be conducted to improve the adherence of Prospect Theory within the structure of the TODIM method, so that the benefits of a consolidated theory of decision lead to better results, notably from the perspective of using the method for the purposes of forecast.

Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model

In the cloud manufacturing environment, the interaction and cooperation between enterprises become more convenient. The most optimal green supplier selection through cloud manufacturing platform can improve the production quality and sustainable development efficiency of enterprises. However, as alternative suppliers are all over the world, there is a risk that the selected supplier is not ideal. Therefore, in this paper, a hybrid supplier selection model based on TODIM method is proposed to choose the optimal green supplier under cloud manufacturing platform. Considering the characteristics of suppliers in the cloud manufacturing environment and green criteria, the comprehensive green supplier evaluation index system is constructed. The creative application of heterogeneous evaluation information including crisp numbers, interval numbers, and probabilistic linguistic values, can express the evaluation information of different subjects comprehensively. In order to consider human judgment and the importance of information provided by raw data, the criteria weights are determined by integrating fuzzy BWM (Best-worst method) weights and objective entropy weights. Then, with the full consideration of decision maker’s risk attitude, the TODIM method is used to process heterogeneous evaluation information and calculate the priority of the green suppliers. The proposed method is novel, and allows multi-subjects to participate in the assessment process and considers the risk attitude of decision-makers in the green supplier selection process. An empirical study of green supplier selection in the cloud manufacturing environment is conducted. Sensitivity analysis and comparative analysis indicate that the proposed selection model for green supplier is reliable and effective.