A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company

Bilişik, Özge Nalan; Duman, Nurşah Hafize; Taş, Esra

doi:10.1016/j.eswa.2023.121134

Cited by 11 publications

(2 citation statements)

References 48 publications

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“…to determine the significance and impact of each attribute on the overall decision outcome, which considers the fluctuation of data to synthesize the weight values of attributes, and helps to reduce the negative impact of the extreme values of weights of individual data within the evaluation system [25]. Recently, CRITIC has been extensively extended to interval-valued intuitionistic fuzzy [26], linguistic Pythagorean fuzzy [23], probabilistic uncertain linguistic [27], Fermatean fuzzy [28], picture fuzzy [29] and type-2 fuzzy [30] environments, as listed in Table 2. Hence, an extension of the CRITIC method with the cloud model is still missing.…”

Section: Motivation For Developing a Cloud Model-based Critic-edasmentioning

confidence: 99%

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

Li,

Sun

2024

Water

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Modern marine ranching construction has drawn growing attention of relevant planning authorities and enterprises with the potential value of oceans becoming apparent. To satisfy the demand for a successful marine ranching construction, site selection is considered as the first and fundamental procedure. This work aims to help planning authorities find the optimal marine ranching site by introducing a methodological evaluation framework for solving this critical problem. Firstly, the advanced CRiteria Importance Through Inter-criteria Correlation (CRITIC) method is extended by using a cloud model to determine the relative importance of attributes in marine ranching site selection problems. Secondly, the Evaluation based on Distance from Average Solution (EDAS) method is developed by integration with the cloud model to obtain the ranks of alternative sites for marine ranching construction. The proposed cloud model-based CRITIC-EDAS method considers the fuzziness and randomness of the linguistic terms given by experts simultaneously to ensure the scientificity and rationality of decision making. Finally, a real-world marine ranching site selection problem is solved by using the proposed model, where the efficiency and reliability of the proposed model are verified according to the comparison with other traditional multi-attribute decision-making methods.

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Section: Motivation For Developing a Cloud Model-based Critic-edasmentioning

confidence: 99%

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

Li,

Sun

2024

Water

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“…Objective weights are obtained by calculation, and in general, they are easily affected by numerical values, not only changing with the changes of the evaluated objects, but also not directly reflecting the importance of the attributes. Representative objective weighting methods include the entropy weight method [64], MEREC method [50], CRITIC method [4], etc. [8,51].…”

Section: Introductionmentioning

confidence: 99%

A single-valued neutrosophic credibility numbers multi-attribute group decision-making method based on CPT-EDAS and consensus model

Liu,

Shen,

Zhang

et al. 2023

Preprint

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Purpose –In this paper, we investigate the multi-attribute group decision-making (MAGDM) method for single-valued neutrosophic credibility numbers (SvNCNs), consider a consensus model for group decision-making (GDM) in SvNCN environments, and construct a decision-support system for the evaluation of suppliers of data analysis tools (DAT). Design/methodology/approach –First, the concept of SvNCNs and the related theory are given, and several dice distance measures for SvNCNs are proposed. Secondly, a consensus model in the SvNCN environment is proposed. At the same time, the subjective and objective weights of attributes are determined by using the AHP method and MEREC method, and the combined weights are calculated based on the Uninorm operator. Then, considering the “limited rationality” behavior of decision makers (DMs), the CPT is integrated into the EDAS method. Finally, an example analysis and comparative analysis are conducted to verify the effectiveness and feasibility of the technique. Findings –This method enriches the MAGDM theory of SvNCNs by considering group consensus, CPT, and the Uninorm operator to determine the combination weights. Research limitations/implications –This study contributes to the literature on fuzzy set theory and MAGDM methods, enriching the theoretical and application scenarios of SvNCNs. Practical implications –This research informs decision information for decision theory for SvNCNs, which applies to several domains, such as MAGDM, large-scale group decision-making, mathematical statistics, and artificial intelligence. Originality/value –This technique combined the consensus model, CPT-EDAS, and Uninorm operator to enrich the decision theory of SvNCNs.

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Interactively iterative group decision-making method with interval-valued intuitionistic fuzzy preference relations based on a new additively consistent concept

Lu,

Dong,

Wan

et al. 2024

Applied Soft Computing

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A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company

Cited by 11 publications

References 48 publications

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

A Cloud Model-Based CRITIC-EDAS Decision-Making Approach with Linguistic Information for Marine Ranching Site Selection

A single-valued neutrosophic credibility numbers multi-attribute group decision-making method based on CPT-EDAS and consensus model

Interactively iterative group decision-making method with interval-valued intuitionistic fuzzy preference relations based on a new additively consistent concept

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