Classification of trapezoidal bipolar neutrosophic number, de-bipolarization technique and its execution in cloud service-based MCGDM problem

Chakraborty, Avishek; Mondal, Sankar Prasad; Alam, Shariful; Dey, Arindam

doi:10.1007/s40747-020-00170-3

Cited by 23 publications

(7 citation statements)

References 48 publications

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“…e conceptual framework of computational thinking is the decomposition of the structure of computational thinking, a hierarchical overview, and reorganization of computational thinking from different dimensions, which can help people further understand and apply computational thinking from the side; it contains the dimensions and components of computational thinking and the interrelationship between each dimension or element [13]. e definition of computational thinking can be considered a matter of opinion, and the understanding of the connotation of computational thinking varies.…”

Section: Current Status Of Researchmentioning

confidence: 99%

A Study on the Optimization Mechanism of the Civic OBE Concept for a Computational Thinking-Oriented Basic Programming Course

Xiong

Talha

2022

Mathematical Problems in Engineering

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This paper conducts an in-depth study and analysis of the optimization mechanism of the Civic OBE concept through the basic programming course of computational thinking. The connotation, implementation principles, and key points of the OBE concept are thoroughly studied and analyzed, and the new requirements of knowledge, ability, and quality of applied talents are specifically analyzed with the characteristics of applied talents in local undergraduate institutions and demand-oriented; the “top-down” idea is fully considered, and the top-down design is based on the middle school IT learning objectives. The reverse design focuses on the cultivation of skills and emotional goals, satisfies students’ individual needs, and enhances students’ ability to analyze and solve problems, and, second, to adapt to the rapid information society, the development of online open platforms, the use of information technology, the integration of modern learning resources, changing the traditional classroom teaching, and stimulating students’ learning enthusiasm and autonomy, to truly achieve efficient classroom. Based on this, this study tries to provide some new ideas and contribute some strengths to the design and practice research of information technology education in junior high school. In the process of effect analysis, data analysis was conducted on the achievement of the competency index points and related achievements of the research subjects. Oral interviews were also conducted with the teachers and students who participated in the experiment to explore the effectiveness of the project-based learning teaching model based on the OBE concept and to summarize the shortcomings of the model in teaching.

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Section: Current Status Of Researchmentioning

confidence: 99%

A Study on the Optimization Mechanism of the Civic OBE Concept for a Computational Thinking-Oriented Basic Programming Course

Xiong

Talha

2022

Mathematical Problems in Engineering

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“…Zhang et al [ 90 , 91 ] formulated two mathematical models to maximize the consistency of preferences and minimize uncertainty in the interval-valued intuitionistic fuzzy context for a suitable CV selection. Chakraborty et al [ 6 ] put forward a new ranking method called Debipolarization, removing the area approach to the rational assessment of CVs by using trapezoidal bipolar neutrosophic data. Tiwari & Kumar [ 76 ] developed a Gaussian distribution-based technique for order of preference by similarity to ideal solution (TOPSIS) for CV selection with robustness towards the rank reversal phenomenon by acquiring data from Cloud Harmony.…”

Section: Related Workmentioning

confidence: 99%

Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information

et al. 2022

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The role of cloud services in the data-intensive industry is indispensable. Cision recently reported that the cloud market would grow to 55 billion USD, with an active contribution of the cloud to healthcare around 2025. Inspired by the report, cloud vendors expand their market and the quality of services to seek growth globally. The rapid growth of the cloud sector in the healthcare industry imposes a challenge: making a rational choice of a cloud vendor (CV) out of a diverse set of vendors. Typically, the healthcare industry 4.0 sees the issue as a large-scale group decision-making problem. Previous studies on a CV selection face certain challenges, such as (i) a lack of the ability to handle multiple users’ views, as well as experts’/users’ complex linguistic views; (ii) the confidence level associated with a view is not considered; (iii) the transformation of multiple users’ views into holistic data is lacking; and (iv) the systematic prioritization of CVs with minimum human intervention is a crucial task. Motivated by these challenges and circumventing them, a new big data-driven decision model is put forward in this paper. Initially, the data in the form of complex expressions are collected from multiple cloud users and are further transformed into a holistic decision matrix by adopting probabilistic linguistic information (PLI). PLI represents complex linguistic expressions along with the associated confidence levels. Later, a holistic decision matrix is formed with the missing values imputed by proposing an imputation algorithm. Furthermore, the criteria weights are determined by using a newly proposed mathematical model and partial information. Finally, the evaluation based on the distance from average solution (EDAS) approach is extended to PLI for the rational ranking of CVs. A real-time example of a CV selection for a healthcare center in India is exemplified so as to demonstrate the usefulness of the model, and the comparison reveals the merits and limitations of the model.

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“…Neutrosophic sets are classified into many types. One study presented a trapezoidal bipolar neutrosophic number and its classification for decision-making problems [11]. One study introduced generalized spherical fuzzy numbers and established a detailed analysis scheme and more related methods for multi-criteria group decision making (MCGDM) [16].…”

Section: Introductionmentioning

confidence: 99%

Neutrosophic ratio-type estimators for estimating the population mean

Tahir

Khan

Aslam

et al. 2021

Complex Intell. Syst.

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All researches, under classical statistics, are based on determinate, crisp data to estimate the mean of the population when auxiliary information is available. Such estimates often are biased. The goal is to find the best estimates for the unknown value of the population mean with minimum mean square error (MSE). The neutrosophic statistics, generalization of classical statistics tackles vague, indeterminate, uncertain information. Thus, for the first time under neutrosophic statistics, to overcome the issues of estimation of the population mean of neutrosophic data, we have developed the neutrosophic ratio-type estimators for estimating the mean of the finite population utilizing auxiliary information. The neutrosophic observation is of the form $${Z}_{N}={Z}_{L}+{Z}_{U}{I}_{N}\, {\rm where}\, {I}_{N}\in \left[{I}_{L}, {I}_{U}\right], {Z}_{N}\in [{Z}_{l}, {Z}_{u}]$$ Z N = Z L + Z U I N where I N ∈ I L , I U , Z N ∈ [ Z l , Z u ] . The proposed estimators are very helpful to compute results when dealing with ambiguous, vague, and neutrosophic-type data. The results of these estimators are not single-valued but provide an interval form in which our population parameter may have more chance to lie. It increases the efficiency of the estimators, since we have an estimated interval that contains the unknown value of the population mean provided a minimum MSE. The efficiency of the proposed neutrosophic ratio-type estimators is also discussed using neutrosophic data of temperature and also by using simulation. A comparison is also conducted to illustrate the usefulness of Neutrosophic Ratio-type estimators over the classical estimators.

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Classification of trapezoidal bipolar neutrosophic number, de-bipolarization technique and its execution in cloud service-based MCGDM problem

Cited by 23 publications

References 48 publications

A Study on the Optimization Mechanism of the Civic OBE Concept for a Computational Thinking-Oriented Basic Programming Course

A Study on the Optimization Mechanism of the Civic OBE Concept for a Computational Thinking-Oriented Basic Programming Course

Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information

Neutrosophic ratio-type estimators for estimating the population mean

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