Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Xu, Xueguo; Shi, Hua; Zhang, Lijun; Liu, Hu‐Chen

doi:10.3390/su11236616

Cited by 21 publications

(13 citation statements)

References 46 publications

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“…Wei et al [30] defined the uncertain probabilistic linguistic MABAC method. Xu, Shi, Zhang, and Liu [31] designed the MABAC with heterogeneous criteria information. Liang, He, Wang, Chen, and Li [1] put forward some novel distance measures of IFSs and combined them with the MABAC method to tackle MCGDM issues.…”

Section: Literature Reviewmentioning

confidence: 99%

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

2021

Journal of Mathematics

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Intelligent transportation system (ITS) is the development direction of the future traffic system. ITS can effectively employ the existing traffic facilities and ensure the safety of traffic, urban traffic, and public security management for effective control in order to satisfy people’s travel demand. Therefore, the results of the system in-depth understanding and objective evaluation are very necessary. And it is frequently regarded as a multiattribute group decision-making (MAGDM) issue. Thus, a novel MAGDM method is required to tackle it. Depending on the conventional multiattributive border approximation area comparison (MABAC) method and intuitionistic fuzzy sets (IFSs), this article designs a novel intuitive distance-based IF-MABAC method to assess the performance of financial management. First of all, a related literature review is conducted. Furthermore, some necessary theories related to IFSs are briefly reviewed. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria are decided objectively by utilizing the maximizing deviation method. Afterwards, relying on novel distance measures between intuitionistic fuzzy numbers (IFNs), the conventional MABAC method is extended to the IFSs to calculate the final value of each enterprise. Therefore, all enterprises can be ranked, and the one with the best environmental behaviors and awareness can be identified. Eventually, an application for evaluating the intelligent transportation system and some comparative analyses have been given. The results illustrate that the designed algorithm is useful for assessing the performance of financial management.

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Section: Literature Reviewmentioning

confidence: 99%

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

2021

Journal of Mathematics

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“…Xu et al [45] established an extended EDAS model with single-valued complex neutrosophic sets and applied it for green supplier selection. Xu et al [46] developed a GSES model through the combination of heterogeneous criteria information and an extended multiattributive border approximation area comparison (MABAC) method. A soft computing approach based on Mathematical Problems in Engineering [47] for the green supplier selection problem.…”

Section: Distance-based Methodsmentioning

confidence: 99%

“…Direct given [20,45,46,56,77,78,153] Expert judgement [22-26, 39, 42, 43, 47, 49, 68, 69, 74, 112, 115, 116, 123, 124, 126, 127, 135, 136, 140, 152, 156-158, 161, 166, 167, 172, 173, 182, 183, 209] 35 AHP [20, 50, 51, 72, 81-85, 125, 164, 168, 178-181, 187-193] 23 ANP [21,41,52,[86][87][88][89][90][97][98][99] 11 BWM [17-19, 48, 58, 114, 142, 184, 193, 194] 10 QFD [29,57,149,195 [34,131] Entropy method and divergence measure method [132] Expert judgement and maximizing distance method [33] Expert judgement and maximizing deviation method [118] Expert judgement and statistical variance method [31] Direct given and ordered weight [147] Table 4: Green supplier evaluation methods used in the literature.…”

Section: Subjective Weighting Methodsmentioning

confidence: 99%

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Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Zhang

Liu

et al. 2020

Mathematical Problems in Engineering

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The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.

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“…Quan et al [3] designed a hybrid method for the assessment of SSS problem. Further, Xu et al [84] evaluated the green supplier selection problem by employing an extended Multi-Attributive Border Approximation area Comparison (MABAC) approach. Meksavang et al [4] suggested a modified VIKOR technique to assess the SSS problem under Picture Fuzzy Sets (PFSs) context.…”

Section: Sustainable Supplier Selection (Sss)mentioning

confidence: 99%

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

et al. 2020

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The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches.

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Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Cited by 21 publications

References 46 publications

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

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