Novel Decision Modeling for Manufacturing Sustainability under Single-Valued Neutrosophic Hesitant Fuzzy Rough Aggregation Information

Kamran, Muhammad; Salamat, Nadeem; Ashraf, Shahzaib; Alam, Md. Ashraful; Cangül, İsmaıl Nacı

doi:10.1155/2022/7924094

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…Alternatively, SVNSs can be considered an extension of intuitionistic fuzzy sets with three membership functions that are unrelated to one another and function values that are included in the unit closed interval [5]. A fresh, popular research issue is brought on by SVNSs [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment

et al. 2023

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In this research, we first offer unique notions of averaging and geometric aggregation operators with confidence level by employing a probabilistic neutrosophic hesitant fuzzy rough framework. Then, we look into other descriptions of the suggested operators, such as idempotency, boundedness, and monotonicity. Additionally, for the derived operators, we establish the score and accuracy functions. We also provide a novel approach to assessing the selection procedure for smart medical devices (SMDs). The selection criteria for SMDs are quite complex, which is the most noteworthy feature of this investigation. It is suggested that these processes be simulated using a method utilizing a hesitant fuzzy set, a rough set, and a probabilistic single-valued neutrosophics set. The proposed approach is employed in the decision-making process, while taking into consideration the decision-makers’ (DMs’) level of confidence in the data they have obtained in order to deal with ambiguity, incomplete data, and uncertainty in lower and upper approximations. The major goal was to outline the issue’s complexities in order to pique interest among experts in the health care sector and encourage them to evaluate SMDs using various evaluation standards. The analysis of the technique’s outcomes demonstrated that the rankings and the results themselves were adequate and trustworthy. The effectiveness of our suggested improvements is also demonstrated through a symmetrical analysis. The symmetry behavior shows that the current techniques address more complex and advanced data.

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Section: Introductionmentioning

confidence: 99%

An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment

et al. 2023

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“…For instance, according to the idea of hard sets, an item either belongs to or does not belong to a particular class. However, many things in the real world could not be described in such detail [12,13].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Quality of Medical Services Using Intuitionistic Hesitant Fuzzy Aczel–Alsina Aggregation Information

Ashraf

Khan

Kamran

et al. 2023

Scientific Programming

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In modern civilization, individuals are increasingly concerned with evaluating the quality of medical services. Evaluation of the quality of medical services enables medical care providers to monitor and improve their service quality. The evaluation of medical service quality is efficiently addressed by the novel concept of Aczel–Alsina operators in an intuitionistic hesitant fuzzy (IHF) environment as multicriteria decision-making (MCDM) problem. Thus, this paper presents the IHF Aczel–Alsina weighted geometric operators for IHF information. We first apply the Aczel–Alsina norms to IHF scenarios and present novel operations of intuitionistic hesitant fuzzy sets. This article develops a unique strategy for evaluating the quality of medical services based on the specified operators, including a quantitative framework for evaluating medical service quality and a novel MCDM technique. Finally, this article presents a numerical example of the novel approach used to evaluate medical services for hospitals and compares it to conventional MCDM methods to highlight the suggested superiority method. According to the comparative results, our strategy outperforms the insufficiency of lacking decision flexibility in the existing MAGDM method.

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Single-Valued Neutrosophic Set With Quaternion Information: A Promising Approach to Assess Image Quality

et al. 2023

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Diminished estimate techniques for image quality assessment examine the overall quality using only partially retrieved features from the reference image. The main goal of these methods is to make objective evaluation flexible enough to accommodate the influence of any new visual distortion. The research provides a rapid approach for quality assessment of color photographs based on this concept by altering the structural similarity index measure (SSIM) index in a neutrosophic environment. The SSIM family is a set of parameters that have demonstrated a promising approach in the analysis of reference picture tasks. The current study deals with the exploitation of the concept to use Single-Valued Neutrosophic Sets (SVNSs) for evaluating image quality. Neutrosophic divergence was being constructed for an image and its comparison with other SSIM is presented. Resultantly, a correlation was observed between the proposed divergence and SSIM, which gave accurate informatics. Additionally, the results were presented on a real line which reflects clear information on image convergence and divergence. The uncertainty in the allocation of membership is called the hesitation degree, fuzzy sets have gained a lot of traction in numerous domains of signal and image processing. Based on generalized exponential fuzzy entropy, a trustworthy Image Quality Assessment is proposed.

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Novel Decision Modeling for Manufacturing Sustainability under Single-Valued Neutrosophic Hesitant Fuzzy Rough Aggregation Information

Cited by 6 publications

References 35 publications

An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment

An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment

Evaluating the Quality of Medical Services Using Intuitionistic Hesitant Fuzzy Aczel–Alsina Aggregation Information

Single-Valued Neutrosophic Set With Quaternion Information: A Promising Approach to Assess Image Quality

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