Intuitionistic fuzzy divergence measure-based ELECTRE method for performance of cellular mobile telephone service providers

Mishra, Arunodaya Raj; Singh, Robert P.; Motwani, Deepak

doi:10.1007/s00521-018-3716-6

Cited by 56 publications

(23 citation statements)

References 72 publications

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“…In addition, the DE's weights information specified by the decision‐makers is articulated as IVIFNs. Firstly, the DE's numeric weights are computed based on IVIF‐divergence measure Mishra, Singh, and Motwani (2020), and hereafter the individual relative importance. Afterward, we implement the proposed IVIF‐similarity measure to calculate optimal objective criteria weights.…”

Section: Proposed Ivif‐cocoso Methodsmentioning

confidence: 99%

Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach

Alrasheedi

Mardani

Mishra³

et al. 2020

Sustainable Development

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Recent years have witnessed the green growth as a renowned efficient approach to tracking the progress towards sustainable development. The paper is mainly aimed to propose an innovative extended approach based on Combined Compromise Solution (CoCoSo) and Interval‐Valued Intuitionistic Fuzzy Set (IVIFS); thus, it is called IVIF Combined Compromise Solution (IVIF‐CoCoSo). This study is the first effort that used the fuzzy sets theory and decision‐making technique (entitled IVIF‐CoCoSo) to rank and evaluate the indicators of green growth to sustainable manufacturing in the manufacturing sector. To reach the study objectives, a total of five indicators and 30 sub‐indicators for evaluation of green growth are collected from the existing literature review. Subsequently, this study has been extended using the IVIF‐CoCoSo approach for ranking, modeling, and evaluating the green growth indicators into sustainable manufacturing based on experts' opinions. The results of this study showed that the environmental and resource productivity of the economy indicators is more significant than the other indicators in the manufacturing sector. Moreover, findings confirmed the accuracy of the proposed method in solving the green growth problem, and comparison was also made between the results of the proposed method and some other Multi‐Criteria Decision Making (MCDM) methods.

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Section: Proposed Ivif‐cocoso Methodsmentioning

confidence: 99%

Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach

Alrasheedi

Mardani

Mishra³

et al. 2020

Sustainable Development

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“…Han and Wei ( 2020 ) gave multivalued neutrosophic EDAS model for dealing with the MCDM problems. Mishra et al ( 2020d ) discussed parametric discrimination measure-based EDAS framework for assessing the HCWD method on IFSs. In this study, we develop a combined framework with CRITIC and EDAS approaches for FFSs.…”

Section: Related Workmentioning

confidence: 99%

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

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143

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In today’s world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries seeking improved customer service, cost reduction and sustainability perspectives. However, the assessment and selection of right S3PRLP is a complex uncertain decision-making problem due to involvement of numerous conflicting attributes, imprecise human mind and lack of information. Recently, Fermatean fuzzy set (FFS) has been recognized as one of the suitable tools to tackle the uncertain and inaccurate information. In this paper, we introduce a hybrid methodology based on CRITIC and EDAS methods with Fermatean fuzzy sets (FFSs) to solve the S3PRLP selection problem in which the attributes and decision makers’ weights are completely unknown. In this framework, CRITIC approach is applied to calculate the attribute weight and EDAS method is used to evaluate the priority order of S3PRLP options. To do this, a new improved generalized score function (IGSF) is developed with its elegant properties. Also, a formula is discussed to calculate the decision makers’ weights based on the developed IGSF. Next, developed framework is applied to assess a case study of S3PRLP selection problem with Fermatean fuzzy information, which elucidates the usefulness and practicality of the proposed method. Finally, comparative study is implemented to show the strength of introduced framework with extant approaches. The outcomes of the work confirm that the introduced approach is more feasible and well-consistent with the other extant approaches.

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“…For the detail and comprehensive analysis of different aggregation operators in the domain of IFSs are given in [7,11,18,29,36,37]. To cope the shortcomings of existing decision-making problems, Zhang et al [39] investigated the concept of J-divergence and evidential reasoning theory under IF environment and for details, see [4,20,23]. However, scholars point out a quite few situations where the dominant concept of IFS failed to cope the circumstances.…”

Section: Introductionmentioning

confidence: 99%

Group-based generalized q-rung orthopair average aggregation operators and their applications in multi-criteria decision making

Hussain

Ali

Mahmood

et al. 2020

Complex Intell. Syst.

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The objective of this manuscript is to investigate the concept of generalized q-rung orthopair fuzzy sets (Gq-ROFSs) and group generalized q-rung orthopair fuzzy sets (GGq-ROFSs) by incorporating the concept of generalized parameter and group generalized parameters in q-rung orthopair fuzzy environment. The main advantage of generalized parameter in q-rung orthopair fuzzy environment is to reduce uncertain errors in the original information to ensure the expert's level of trust and improve the accuracy of final decision. On the base of generalized parameter, some aggregation operators are introduced such as generalized q-rung orthopair fuzzy average aggregation operators and group generalized q-rung orthopair fuzzy average aggregation operators and studied their related properties. Furthermore, a multi-criteria decision-making method technique based on proposed approach is presented. Finally, a numerical example is provided to illustrate the feasibility of the proposed methods and deliver the sensitivity analysis and comparative analysis, which show the superiority of developed approached than existing methods. Keywords q-rung orthopair fuzzy sets • Gq-ROFSs • GGq-ROFSs • Gq-ROF aggregation operators • GGq-ROF aggregation operators • MCDM

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Intuitionistic fuzzy divergence measure-based ELECTRE method for performance of cellular mobile telephone service providers

Cited by 56 publications

References 72 publications

Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach

Evaluating the green growth indicators to achieve sustainable development: A novel extended interval‐valued intuitionistic fuzzy‐combined compromise solution approach

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Group-based generalized q-rung orthopair average aggregation operators and their applications in multi-criteria decision making

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