New hybrid multi-criteria decision-making DEMATEL-MAIRCA model: sustainable selection of a location for the development of multimodal logistics centre

Pamučar, Dragan; Tarle, Snezana Pejcic; Parezanović, Tanja

doi:10.1080/1331677x.2018.1506706

Cited by 85 publications

(60 citation statements)

References 30 publications

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“…The algorithm of the fuzzy DEMATEL method is presented in Figure 2. Pamucar proved that the proposed method provides lower instability in alternative rankings compared with traditional methods [36]. Moreover, the application of the MAIRCA model has several advantages.…”

Section: The Hybrid Dematel-mairca Model and Case Studymentioning

confidence: 90%

“…The proposed DEMATEL-MAIRCA model was developed by Serbian researcher Dr. Dragan S. Pamucar [36]. The application of the MCDM model is a hybrid of two techniques.…”

Section: The Hybrid Dematel-mairca Model and Case Studymentioning

confidence: 99%

“…Moreover, the application of the MAIRCA model has several advantages. Firstly, this method has greater stability compared with other methods, such as TOPSIS or ELECTRE [36]. Firstly, this technique provides a different criteria normalization method.…”

Section: The Hybrid Dematel-mairca Model and Case Studymentioning

confidence: 99%

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Location Optimization of CR Express International Logistics Centers

Muravev

Zhou

et al. 2020

Symmetry

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Currently, the trade volume between China and the European Union is experiencing rapid growth. However, there are many bottlenecks in the operation of the China Railway Express, such as imbalance in inbound and outbound transported containers in the Sino–European direction and a low profit margin. More than fifty-three rail routes in China provide rail transportation to European cities and have small traffic volumes. However, such a dramatic situation affects transportation costs, which are three times higher compared with maritime transportation, causing uncertainty related to the demand of Chinese customers. This study analyzes the shortcomings of previous research studies related to multicriteria decision-making (MCDM) models applied in the field of logistics and transportation. The study proposes a novel approach to determine the optimal locations of the CR Express international logistics centers. The proposed approach involves the application of a MCDM model using the DEMATEL-MAIRCA method. This technique finds the closest solution to the ideal one by identifying the value of the best alternative in line with the observed criterion, and by measuring the distances of other alternatives according to the observed criterion of the ideal value. Finally, we show the similarity of the proposed methodology to other MCMD methods, which is one of the key topics of the Symmetry Journal, to prove the validity of the applied DEMATEL-MAIRCA method. Preliminary results show that in view of increased container turnover between China and the European Union, the determination of optimal locations for CR Express international logistics centers should be carried out dynamically.

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Section: The Hybrid Dematel-mairca Model and Case Studymentioning

confidence: 90%

“…The proposed DEMATEL-MAIRCA model was developed by Serbian researcher Dr. Dragan S. Pamucar [36]. The application of the MCDM model is a hybrid of two techniques.…”

Section: The Hybrid Dematel-mairca Model and Case Studymentioning

confidence: 99%

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Location Optimization of CR Express International Logistics Centers

Muravev

Zhou

et al. 2020

Symmetry

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“…Rao et al [97] used the fuzzy multi-attribute group decision-making (MAGDM) approach to address the problem. Turskis and Zavadskas [98] approached the problem of selecting the location of the logistics center with the fuzzy ARAS (ARAS-F) method, while Pamucar et al [99] used the DEMATEL-MAIRCA method for the same purpose.…”

Section: Transport and Logisticsmentioning

confidence: 99%

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

et al. 2019

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Sustainability is one of the main challenges of the recent decades. In this regard, several prior studies have used different techniques and approaches for solving this problem in the field of sustainability engineering. Multiple criteria decision making (MCDM) is an important technique that presents a systematic approach for helping decisionmakers in this field. The main goal of this paper is to review the literature concerning the application of MCDM methods in the field of sustainable engineering. The Web of Science (WoS) Core Collection Database was chosen to identify 108 papers in the period of 2008–2018. The selected papers were classified into five categories, including construction and infrastructure, supply chains, transport and logistics, energy, and other. In addition, the articles were classified based on author, year, application area, study objective and problem, applied methods, number of published papers, and name of the journal. The results of this paper show that sustainable engineering is an area that is quite suitable for the use of MCDM. It can be concluded that most of the methods used in sustainable engineering are based on traditional approaches with a noticeable trend towards applying the theory of uncertainty, such as fuzzy, grey, rough, and neutrosophic theory.

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“…Finally, a numerical example for performance assessment of new rural construction has been given to demonstrate the application of bidirectional project method of dual hesitant Pythagorean fuzzy, and we used the dual hesitant Pythagorean weighted Bonferroni mean to compare its reasonable and effectiveness. In the future work, we shall use more MADM methods in DHPFS and develop the applications in other situation …”

Section: Resultsmentioning

confidence: 99%

Bidirectional project method for dual hesitant Pythagorean fuzzy multiple attribute decision‐making and their application to performance assessment of new rural construction

Tang

Wei

et al. 2019

Int J Intell Syst

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The dual hesitant Pythagorean fuzzy set (DHPFS) consists of two parts, that is, the membership hesitancy function and the nonmembership hesitancy function, supporting a more exemplary and flexible access to assign values for each element in the domain. It is very suitable to handle the situation that there are various possible values in membership and nonmembership degrees to depict the true circumstance. The bidirectional project method of DHPFS calculates method considered not only the bidirectional projection magnitudes and the distance but also includes angle between objects evaluated. Therefore, this paper proposes a bidirectional project method of DHPFS to handle the multiple attribute decision-making (MADM) problem under the dual hesitant Pythagorean fuzzy environment. Through the measure between each alternative decision matrix and the positive and negative ideal alternative matrix, the ranking order all alternatives can be used to select the best alternative. Furthermore, a model for MADM has been given. Finally, a numerical example for performance assessment of new rural construction has been given to demonstrate the application of bidirectional project method of DHPFS, and we used the dual hesitant Pythagorean weighted Bonferroni mean to compare its reasonable and effectiveness. K E Y W O R D Sbidirectional project method, dual hesitant Pythagorean fuzzy set, multiple attribute decision-making, new rural construction, performance assessment 1 | INTRODUCTION Atanassov 1,2 introduced the concept of intuitionistic fuzzy set (IFS) characterized by a membership function and a nonmembership function, which is a generalization of the concept of fuzzy set, 3 whose basic component is only a membership function. For the IFS, the sum of the membership and nonmembership degrees of each ordered pair is less than or equal to 1. Xu 4 developed the intuitionistic fuzzy weighted averaging (IFWA) operator, the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator, and the intuitionistic fuzzy hybrid aggregation (IFHA) operator. Xu 5 developed some geometric aggregation operators, such as the intuitionistic fuzzy weighted geometric (IFWG) operator, the intuitionistic fuzzy ordered weighted geometric (IFOWG) operator, and the intuitionistic fuzzy hybrid geometric (IFHG) operator and gave an application of the IFHG operator to multiple attribute group decision-making with intuitionistic fuzzy information. Zhao and Wei 6 proposed some intuitionistic fuzzy Einstein hybrid aggregation operators for multiple attribute decision-making (MADM). Li et al 7 gave some methods for multiple attribute group decision-making based on intuitionistic fuzzy Dombi Hamy mean operators. The IFS and their extensions have received more and more attention since its appearance. A new extension of IFS, namely, the Pythagorean fuzzy set (PFS), 31,32 has been developed. The PFS is also characterized by the membership and nonmembership degrees. The difference between PFS and IFS is that the square sum of the membership and nonmembership de...

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New hybrid multi-criteria decision-making DEMATEL-MAIRCA model: sustainable selection of a location for the development of multimodal logistics centre

Cited by 85 publications

References 30 publications

Location Optimization of CR Express International Logistics Centers

Location Optimization of CR Express International Logistics Centers

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

Bidirectional project method for dual hesitant Pythagorean fuzzy multiple attribute decision‐making and their application to performance assessment of new rural construction

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