Group Decision-Making Model of Renal Cancer Surgery Options Using Entropy Fuzzy Element Aczel-Alsina Weighted Aggregation Operators under the Environment of Fuzzy Multi-Sets

Fu, Jing; Ye, Jun; Xie, Liping

doi:10.32604/cmes.2022.018739

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…In addition, the information disclosure on the public health emergency evaluation index system is divided into four dimensions, and there is a correlation between the attributes of each dimension. The objective weighting method, the entropy value method [50], cannot directly obtain attribute weights based on the volatility or correlation of the assessment value, and is not suitable for a public health emergency information assessment. Although the variation coefficient method [51] considers the fluctuation of numerical values, and the principal component analysis method [52] considers the correlation between values, they are still not comprehensive.…”

Section: Discussionmentioning

confidence: 99%

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Zang,

Sun,

Wen

et al. 2023

Systems

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Information disclosure is an important prerequisite and guarantee for the government to answer public health incidents in a timely manner, and is also a basic requirement for the management of emergencies. Evaluating the information disclosure on public health incidents is conducive to improving the quality of emergency information disclosure and comprehensively enhancing the emergency answer and treatment ability of public health incidents. In response to the complex uncertainties in the assessment of information disclosure on public health incidents, this paper proposes a new fuzzy multi-attribute evaluation method. First, a multi-attribute evaluation system for the assessment of information disclosure on public health emergencies is proposed. Then, a novel approach to information disclosure assessment is proposed on the basis of Dombi power divided Muirhead mean operators of fractional orthotriple fuzzy, which can fully consider the relationship between properties and the division of relationships within properties and reduce the distortion in the evaluation process. Meanwhile, it can avoid the impact of singular values on the overall evaluation outcomes of the government. In the end, the effectiveness and flexibility of the approach are validated through an empirical study of a real-life case with comparative analysis and sensitivity analysis.

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Section: Discussionmentioning

confidence: 99%

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Zang,

Sun,

Wen

et al. 2023

Systems

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“…In FSs, Zadeh assigns membership grades to a set of components in the interval [0,1]. Zadeh's work on this topic is notable since many of the set theoretic elements of crisp circumstances were described for fuzzy sets and it plays an important role in decision making [6,7].…”

Section: Introductionmentioning

confidence: 99%

Novel Decision Making Methodology under Pythagorean Probabilistic Hesitant Fuzzy Einstein Aggregation Information

Ashraf¹,

Batool²,

Naeem³

2023

Computer Modeling in Engineering &Amp; Sciences

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This research proposes multicriteria decision-making (MCDM)-based real-time Mesenchymal stem cells (MSC) transfusion framework. The testing phase of the methodology denotes the ability to stick to plastic surfaces, the upregulation and downregulation of certain surface protein markers, and lastly, the ability to differentiate into various cell types. First, two scenarios of an enhanced dataset based on a medical perspective were created in the development phase to produce varying levels of emergency. Second, for real-time monitoring of COVID-19 patients with different emergency levels (i.e., mild, moderate, severe, and critical), an automated triage algorithm based on a formal medical guideline is proposed, taking into account the improvement and deterioration procedures from one level to the next. For this strategy, Einstein aggregation information under the Pythagorean probabilistic hesitant fuzzy environment (PyPHFE) is developed. Einstein operations on PyPHFE such as Einstein sum, product, scalar multiplication, and their properties are investigated. Then, several Pythagorean probabilistic hesitant fuzzy Einstein aggregation operators, namely the Pythagorean probabilistic hesitant fuzzy weighted average (PyPHFWA) operator, Pythagorean probabilistic hesitant fuzzy Einstein weighted geometric (PyPHFEWG) operator, Pythagorean probabilistic hesitant fuzzy Einstein ordered weighted average (PyPHFEOWA) operator, Pythagorean probabilistic hesitant fuzzy Einstein ordered weighted geometric (PyPHFEOWG) operator, Pythagorean probabilistic hesitant fuzzy Einstein hybrid average (PyPHFEHA) operator and Pythagorean probabilistic hesitant fuzzy Einstein hybrid geometric (PyPHFEHG) operator are investigated. All the above-mentioned operators are helpful in design the algorithm to tackle uncertainty in decision making problems. In last, a numerical case study of decision making is presented to demonstrate the applicability and validity of the proposed technique. Besides, the comparison of the existing and the proposed technique is established to show the effectiveness and validity of the established technique.

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“…However, with the promotion of science and technology and social needs, many decision-making problems in reality require the participation of a large number of decision-making experts, such as commercial projects, electronic democracy, emergency decision-making, etc [45][46][47][48]. In this situation, GDM that allows large-scale decision-makers to participate in the decision-making process has received increasing attention and has been widely applied [49][50][51][52][53]. Compared with decision-making, group decision-making can fully utilize various resources, fully leverage the advantages of different knowledge structures, and improve the comprehensiveness and objectivity of the decision-making process and results [54][55][56][57][58][59].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Combined Techniques for Interval-Valued Intuitionistic Fuzzy Multiple-Attribute Group Decision-Making and Applications to Quality Evaluation of Large-Scale Multi-View 3D Reconstruction

Bian,

Che

2023

IEEE Access

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With the widespread application of computer vision in many fields, quickly and accurately obtaining the three-dimensional information covered by the target object has become a concern in the field of vision research. Large scale multi view Iterative reconstruction refers to obtaining multiple images of the target object through the camera, then obtaining the corresponding relationship between points and spatial mapping relationship between each image through the pixel information on the image, and then obtaining the 3D information of the target object through the relationship between points and space, finally completing the multi view Iterative reconstruction of the target object. Multi view Iterative reconstruction has a wide range of applications, and has very important applications in medical treatment, industrial detection, space technology, etc. Compared with binocular or multi camera stereo vision, monocular stereo vision has obvious advantages in terms of cost, structure and the way to obtain pictures. Multi view Iterative reconstruction of objects can be completed by processing multiple images to achieve the effect of multi camera stereo vision. The quality evaluation of large-scale multi-view 3D reconstruction is the MAGDM. Recently, the TODIM and EDAS technique has been employed to manage MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a useful tool for portraying uncertain information during the quality evaluation of large-scale multi-view 3D reconstruction. In this paper, the interval-valued intuitionistic fuzzy TODIM-EDAS (IVIF-TODIM-EDAS) technique is built to manage the MAGDM under IVIFSs. At last, the numerical example for quality evaluation of large-scale multi-view 3D reconstruction is employed to show the IVIF-TODIM-EDAS decision technique. The main contribution of this paper is outlined: (1) the TODIM technique based on EDAS has been extended to IVIFSs based on Entropy technique; (2) the Entropy technique is employed to manage weight based on score values under IVIFSs. (3) the IVIF-TODIM-EDAS technique is founded to manage the MAGDM under IVIFSs; (4) a numerical example for quality evaluation of large-scale multi-view 3D reconstruction and some comparative analysis is supplied to verify the proposed technique. INDEX TERMS: Multiple-attribute group decision-making (MAGDM); interval-valued intuitionistic fuzzy sets (IVIFSs); TODIM technique; EDAS technique; large-scale multi-view 3D reconstruction

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Group Decision-Making Model of Renal Cancer Surgery Options Using Entropy Fuzzy Element Aczel-Alsina Weighted Aggregation Operators under the Environment of Fuzzy Multi-Sets

Cited by 6 publications

References 23 publications

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Novel Decision Making Methodology under Pythagorean Probabilistic Hesitant Fuzzy Einstein Aggregation Information

Enhanced Combined Techniques for Interval-Valued Intuitionistic Fuzzy Multiple-Attribute Group Decision-Making and Applications to Quality Evaluation of Large-Scale Multi-View 3D Reconstruction

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