A Hybrid MCDM Approach for Large Group Green Supplier Selection With Uncertain Linguistic Information

Quan, Mei-Yun; Wang, Ze-Ling; Liu, Hu‐Chen; Shi, Hua

doi:10.1109/access.2018.2868374

Cited by 48 publications

(35 citation statements)

References 50 publications

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“…For instance, there are five candidate alternatives in Z, i.e., Z = {z 1 , z 2 , ⋯ , z 5 }. Suppose that the decision-maker e k provides his/her confirmed preference relations z 3 ≻z 1 , z 2 ≻z 4 , and z 3 ≻z 4 , i.e., Ω k = {(3, 1), (2,4), (3,4)}. In this case, there are only three paired comparison judgments in Ω k .…”

Section: Mcgdm Problem Under Pf Uncertaintymentioning

confidence: 99%

“…Multiple criteria group decision-making (MCGDM) intends to prioritize a set of candidate alternatives based on a set of evaluative criteria regarding subjective preference and judgments of multiple decision-makers. The linear programming technique for multidimensional analysis of preference (LINMAP) initiated by Srinivasan and Shocker [1] provides an efficient decision-making tool to address MCGDM problems with preference information over alternatives and unknown weights of criteria [2][3][4]. When decision-makers provide preference relations between pairs of alternatives in the MCGDM process, the LINMAP methods can be effectively applied to resolve the objective weights of criteria and specify the best compromise choice by ranking alternatives.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Pythagorean Fuzzy LINMAP-Based Compromising Approach for Multiple Criteria Group Decision-Making with Preference Over Alternatives

Wang¹,

Chen²

2020

IJCIS

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A B S T R A C TThis paper presents a new compromising approach to multiple criteria group decision-making (MCGDM) for the treatment of uncertainty which is based on Pythagorean fuzzy (PF) sets. The present work intends to propose a novel linear programming technique for multidimensional analysis of preference (LINMAP) by way of some useful concepts related to PF dominance relations, individual consistency and inconsistency levels, and individual fit measurements. The concept of PF scalar function-based dominance measures is defined to conduct intracriterion comparisons concerning uncertain evaluation information based on Pythagorean fuzziness; moreover, several valuable properties are also investigated to demonstrate its effectiveness. For the assessment of overall dominance of alternatives, this paper provides a synthetic index, named a comprehensive dominance measure, which is the aggregation of the weighted dominance measures by combining unknown weight information and PF dominance measures of various criteria. For each decision-maker, this paper employs the proposed measures to evaluate the individual levels of rank consistency and rank inconsistency regarding the obtained overall dominance relations and the decision-maker's preference comparisons over paired alternatives. In the framework of individual fit measurements, this paper constructs bi-objective mathematical programming models and then provides their corresponding parametric linear programming models for generating the best compromise alternative. Realistic applications with some comparative analyses concerning railway project investment are implemented to demonstrate the appropriateness and usefulness of the proposed methodology in addressing actual MCGDM problems.However, the classical LINMAP methods cannot be directly employed to handle the decision-making problems involving fuzzy information because of the uncertainty contained in performance information or evaluation values of candidate alternatives in terms of criteria [8][9][10]. Accordingly, numerous studies have extended the classical LINMAP for conducting multiple criteria decision analysis in a variety of different fuzzy circumstances. For example, Wan and Li [11] emanated from LINMAP to construct an intuitionistic fuzzy programming method for handling heterogeneous MCGDM containing intuitionistic fuzzy truth degrees. Furthermore, Wan and Li [8] considered the hesitancy degrees about pairwise comparisons as interval-valued intuitionistic fuzzy sets to establish a fuzzy LINMAP-based method for conducting a heterogeneous decision analysis. Zhang et al. [12] utilized the LINMAP and Shapley values to develop an interval-valued intuitionistic fuzzy mathematical programming model to manage uncertain MCGDM problems. Moreover, Zhang et al.[13] established a mathematical programming-based approach to heterogeneous MCGDM involving aspirations and incomplete preference information. Zhang and Xu [10] applied the LINMAP structure to present an interval programming method for handling MCGDM problems

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Section: Mcgdm Problem Under Pf Uncertaintymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Pythagorean Fuzzy LINMAP-Based Compromising Approach for Multiple Criteria Group Decision-Making with Preference Over Alternatives

Wang¹,

Chen²

2020

IJCIS

View full text Add to dashboard Cite

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“…Criteria such as pollution production [16,17], recycling utilization level of waste material [18], level of clean energy utilization [19], noise level [20], and level of environmental protection input [21] were considered by researchers. On the other hand, individual and hybrid methods were proposed for determining supplier selection in the literature [22]. A grey analytical network process (ANP)-based model to determine green supplier development programs to develop the performance of suppliers was introduced by [23].…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

et al. 2019

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Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today’s organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.

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“…Used an approach technically applied to assign variable range of criteria for supplier selection in the oil refinery. Quan et al, 2018 MCDM, MULTIMOORA, and LINMAP.…”

Section: Tablementioning

confidence: 99%

Developing a novel Grey integrated multi-criteria approach for enhancing the supplier selection procedure: A real-world case of Textile Company

Bakhat¹,

Rajaa²

2019

10.5267/j.dsl

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Supplier selection is one of the most essential activities in purchase management and plays a crucial role in the production phase. Supplier selection as a vital step of supply chain management is a multi-criteria decision-making issue. For any organization, the process of selecting the best supplier holds variable multilayered complications involving quantitative and qualitative criteria. This paper tackles the supplier selection problem in a Turkish Textile Company. The present study carries out a novel grey integrated multi-criteria approach for enhancing the supplier procedure within Textile Company with the help of the grey analytical hierarchy process G-AHP model for weighting the set of criteria, and the grey weighted aggregated sum product assessment WASPAS-G model for prioritizing the suppliers. The study starts with reviewing the previous works of multi-criteria decision-making MCDM methods and the list of existing criteria evaluation in supplier selection. Then, the range of criteria is selected based on the company requirements and the experts' interview. In the case study, the consistency rate of the models is tested in order to verify the quality of experts' judgments. The final results affirm that Grey integrated approach could be efficient and far more precise than the existing models for overcoming the supplier selection and evaluation obstacles in the supply chain management.

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A Hybrid MCDM Approach for Large Group Green Supplier Selection With Uncertain Linguistic Information

Cited by 48 publications

References 50 publications

A Novel Pythagorean Fuzzy LINMAP-Based Compromising Approach for Multiple Criteria Group Decision-Making with Preference Over Alternatives

A Novel Pythagorean Fuzzy LINMAP-Based Compromising Approach for Multiple Criteria Group Decision-Making with Preference Over Alternatives

An Integrated Best-Worst and Interval Type-2 Fuzzy TOPSIS Methodology for Green Supplier Selection

Developing a novel Grey integrated multi-criteria approach for enhancing the supplier selection procedure: A real-world case of Textile Company

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