An extended fuzzy TOPSIS–GRA method based on different separation measures for green logistics service provider selection

Çelik, Erkan; Erdoğan, Melike; Gümüş, Alev Taşkın

doi:10.1007/s13762-016-0977-4

Cited by 36 publications

(18 citation statements)

References 55 publications

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“…Among these methods, we will pay special attention to the following: the CODAS method (Combinative Distance-based Assessment) [42], QUALIFLEX method (QUALItative FLEXible) [43], ELECTRE method (ELimination Et Choix Traduisant la REalité) [44,45], VIKOR method (VlseKriterijumska Optimizacija I Kompromisno Resenje) [46,47], MULTIMOORA method (Multiple Objective Optimization on the basis of Ratio Analysis) [48], EAMRIT Method (Evaluation by an Area-based Method of Ranking Interval Type-2 Fuzzy sets) [49], TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution [50], EDAS Method (Evaluation based on Distance from Average Solution) [51], AFRAW Method (Assessment-based on Fuzzy Ranking and Aggregated Weights) [52], TEDE Method (Total Effective Dose Equivalent) [53], and WASPAS (Weighted Aggregated Sum Product ASsessment) [54]. The extension of these methods to the field of MITFNs can provide new tools, from the point of view of both the calculations, as well as from the interpretative point of view.…”

Section: Discussionmentioning

confidence: 99%

A Generalization of Trapezoidal Fuzzy Numbers Based on Modal Interval Theory

Jorba

Adillon

2017

Symmetry

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Abstract:We propose a generalization of trapezoidal fuzzy numbers based on modal interval theory, which we name "modal interval trapezoidal fuzzy numbers". In this generalization, we accept that the alpha cuts associated with a trapezoidal fuzzy number can be modal intervals, also allowing that two interval modalities can be associated with a trapezoidal fuzzy number. In this context, it is difficult to maintain the traditional graphic representation of trapezoidal fuzzy numbers and we must use the interval plane in order to represent our modal interval trapezoidal fuzzy numbers graphically. Using this representation, we can correctly reflect the modality of the alpha cuts. We define some concepts from modal interval analysis and we study some of the related properties and structures, proving, among other things, that the inclusion relation provides a lattice structure on this set. We will also provide a semantic interpretation deduced from the modal interval extensions of real continuous functions and the semantic modal interval theorem. The application of modal intervals in the field of fuzzy numbers also provides a new perspective on and new applications of fuzzy numbers.

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Section: Discussionmentioning

confidence: 99%

A Generalization of Trapezoidal Fuzzy Numbers Based on Modal Interval Theory

Jorba

Adillon

2017

Symmetry

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“…Ye (2015) has extended the fuzzy TOPSIS method with interval neutrosophic uncertain linguistic information. A new version of fuzzy TOPSIS and Grey Relational Analysis (GRA) with various separation measures has been used for selecting "green" logistics service providers (Celik et al, 2016). Hu et al (2016) have developed a weighted TOPSIS arguing that each criterion has an equally important part in the technique.…”

Section: Brief Review Of Recent Developments In Topsismentioning

confidence: 99%

TOPSIS-RTCID for range target-based criteria and interval data

Jahan

Yazdani

Edwards

2021

Int. J. Prod. Manag. Eng.

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<p>The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. An improved structure of the TOPSIS is presented to deal with high uncertainty in engineering and engineering decision-making. The proposed Range Target-based Criteria and Interval Data model of TOPSIS (TOPSIS-RTCID) achieves the core contribution in decision making theories through a distinct normalization formula for cost and benefits criteria in scale of point and range target-based values. It is important to notice a very interesting property of the proposed normalization formula being opposite to the usual one. This property can explain why the rank reversal problem is limited. The applicability of the proposed TOPSIS-RTCID method is examined with several empirical litreture’s examples with comparisons, sensitivity analysis, and simulation. The authors have developed a new tool with more efficient, reliable and robust outcomes compared to that from other available tools. The complexity of an engineering design decision problem can be resolved through the development of a well-structured decision making method with multiple attributes. Various decision approches developed for engineering design have neglected elements that should have been taken into account. Through this study, engineering design problems can be resolved with greater reliability and confidence.</p>

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“…Therefore, it is better to acquire the optimal process scheme for the optimal surface integrity through using the TOPSIS method improved by GRA. It has been successfully applied to risk assessment and prioritization [24], value chain performance evaluation [25], supplier selection and other fields [26,27]. But it should be noted that the methods, including TOPSIS and GRA, can only provide ideal optimization scheme from the defined schemes.…”

Section: Introductionmentioning

confidence: 99%

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

Zheng

Zhu

Liu

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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To improve the anti-fatigue performance and the service life of parts made of 7050 aluminium alloy, the surface integrity of the workpiece treated by two-dimensional ultrasonic surface rolling (TDUSR) was comprehensively evaluated, and the optimization methods of the process parameters were proposed in this paper. The orthogonal experimental method was used to design an experiment program for TDUSR 7050 aluminium alloy. Based on the experimental results, the entropy weight method was used to make objectively weight for each quantifiable evaluation index. The technique for order preference by similarity to an ideal solution (TOPSIS) improved by the grey relational analysis (GRA) was presented to evaluate the surface integrity. Quadratic regression analysis was applied to establish prediction models for the surface roughness, microhardness, residual stress and the close degree. The optimal process parameters for the surface integrity were obtained using planning solution based on the prediction models. The results show that the static load and the feed rate have significant effects on the surface integrity, and their contributions are 60.52% and 28.05%, respectively. The maximal close degree obtained by planning solution is bigger than that obtained by TOPSIS improved by GRA. The validation test result proves that the overall evaluation method of TOPSIS improved by GRA combined with prediction modelling method by quadratic regression analysis can provide comparatively better process parameters and obtain more desirable process responses.

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An extended fuzzy TOPSIS–GRA method based on different separation measures for green logistics service provider selection

Cited by 36 publications

References 55 publications

A Generalization of Trapezoidal Fuzzy Numbers Based on Modal Interval Theory

A Generalization of Trapezoidal Fuzzy Numbers Based on Modal Interval Theory

TOPSIS-RTCID for range target-based criteria and interval data

Overall evaluation of the surface integrity in two-dimensional ultrasonic surface rolling 7050 Al alloy

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