Probabilistic hesitant fuzzy set based MCDM method with applications in Portfolio selection process

Joshi, Dheeraj Kumar; Awasthi, Natasha; Chaube, Shshank

doi:10.1016/j.matpr.2021.12.528

Cited by 11 publications

(2 citation statements)

References 30 publications

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“…[24] investigated a closed-loop supply chain network for button battery manufacture and recovery in the face of uncertainty. [11] MCDM approach based on a probabilistic hesitant fuzzy set is discussed along with applicability to the portfolio selection process. This work introduces a probabilistic information that makes the method suitable for ensuring the precision and authenticity of hesitant fuzzy knowledge.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing E-waste management through neutrosophic applications: A comprehensive analysis of factors based on Superiority and Inferiority Ranking (SIR)

Rajadurai,

Kaliyaperumal

2024

Preprint

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This study delves into the intricacies of e-waste management control by introducing a novel approach that leverages neutrosophic numbers. Focusing on crucial factors such as environmental impact, resource recovery, social impact, and economic viability, our research employs a superiority and inferiority ranking method enhanced by neutrosophic numbers. This methodology enables a nuanced and flexible evaluation of electronic products, considering the inherent uncertainties and indeterminacies associated with sustainability metrics. By incorporating neutrosophic numbers into the ranking process, the study aims to provide a more robust framework for assessing and prioritizing e-waste management strategies. The outcomes of this research contribute to advancing the understanding of e-waste management by incorporating the inherent uncertainties within a neutrosophic framework. This approach not only enhances the accuracy of ranking electronic products but also facilitates more adaptive and informed decision-making processes in the pursuit of sustainable e-waste management practices. Additionally, we conduct a comparative analysis by evaluating the performances by utilizing various Multi-Criteria Decision-Making (MCDM) methods. Further the comparative assessment aims to elucidate the strengths and limitations of neutrosophic-based ranking in contrast to other established decision-making approaches.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing E-waste management through neutrosophic applications: A comprehensive analysis of factors based on Superiority and Inferiority Ranking (SIR)

Rajadurai,

Kaliyaperumal

2024

Preprint

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“…Step 8c. The dominance degree matrices construction for each criterion For each criterion, the dominance degree matrices are constructed as Equation (37).…”

Section: Step 2 the Individual Sf Decision Matrix Constructionmentioning

confidence: 99%

A Behavior-Simulated Spherical Fuzzy Extension of the Integrated Multi-Criteria Decision-Making Approach

Nhieu

2022

Symmetry

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Since its inception in 1965, fuzzy sets have been developed for many years and are widely used in multi-criteria decision making (MCDM) problems. Recently, spherical fuzzy sets (SFS), one of the most recent fuzzy sets, have been applied to extend and reinforce MCDM methods. To contribute to this development, the aim of this study is to propose a novel SFS extension of the integrated MCDM method that takes into account the psychological behavior of decision makers. In the proposed approach, the evaluation criteria are first weighted by the spherical fuzzy Decision-Making Trial and Evaluation Laboratory (SF DEMATEL) method based on symmetrical linguistic comparison matrices. Another notable advantage of this process is determining the interrelationship between the evaluation criteria. In the next stage, the spherical fuzzy Interactive Multi-Criteria Decision-Making method in the Monte Carlo simulation environment (SF TODIM’MC) was applied to evaluate the alternatives. This method allows the process of evaluating alternatives to be performed continuously with different psychological behavioral parameters, which are considered as asymmetric information. As a result, the influence of the decision maker’s psychological behavior on the evaluation results is analyzed comprehensively. The robustness of the proposed approaches is verified through their application to prioritizing post-COVID-19 operational strategies in the Vietnam logistics sector. Numerical results have provided a cause-and-effect relationship between the negative effects of the pandemic and their weights. Furthermore, the results of prioritizing the operational strategies in the simulated environment provide rankings corresponding to different levels of risk aversion. Based on the results, the proposed spherical fuzzy approach is promising for expert-based decision-making problems under psycho-behavioral influence.

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Distance and Similarity Measures of Hesitant Bi-Fuzzy Set and Its Applications in Pattern Recognition Problem

Gupta,

Joshi,

Awasthi

et al. 2023

Algorithms for Intelligent Systems

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Probabilistic hesitant fuzzy set based MCDM method with applications in Portfolio selection process

Cited by 11 publications

References 30 publications

Optimizing E-waste management through neutrosophic applications: A comprehensive analysis of factors based on Superiority and Inferiority Ranking (SIR)

Optimizing E-waste management through neutrosophic applications: A comprehensive analysis of factors based on Superiority and Inferiority Ranking (SIR)

A Behavior-Simulated Spherical Fuzzy Extension of the Integrated Multi-Criteria Decision-Making Approach

Distance and Similarity Measures of Hesitant Bi-Fuzzy Set and Its Applications in Pattern Recognition Problem

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