Study on neutrosophic graph with application in wireless network

Yao, Fei

doi:10.1049/trit.2020.0093

Cited by 4 publications

(1 citation statement)

References 55 publications

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“…e goal of the intelligent system is to keep the load trajectory stable within the desired range. Using fuzzy technology to design a decision-making assistance system, it can process digital information and describe the system behavior with language rules, simulate the trainer's reasoning and decision-making process through fuzzy logic, predict the change of load trajectory, and assist the trainer to make decisions about the change of training load [7].…”

Section: Analysis Of Training Target Decision-making Functionmentioning

confidence: 99%

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Tang

2022

Computational Intelligence and Neuroscience

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Fencing is an advantageous event for a country to participate in the Asian Games. The discussion and research on the means and methods of special fencing ability training are of great significance to the further development of fencing in the country. Based on the multisensor information fusion technology, this paper develops a special fencing training system with digital monitoring and intelligent decision-making. The multisensor information fusion technology scheme, which is reported in this paper, is used to perform decision-level fusion based on fuzzy inference technology whereas Kalman filter is used to optimize the original information. On the basis of the overall structure, mechanical mechanism, and performance analysis, the mechanical prototype of the fencing special ability training system was developed whereas design, processing, and debugging of the prototype were completed. Combined with the mechanical prototype design of various index parameter display structures based on multisensor information fusion technology, the digital processing of the fencing special ability training system is realized. The force, speed, position, and other characteristic quantities in the fencing special training system are collected by the pressure and rotational speed sensors respectively whereas USB communication technology is used for data transmission. On the basis of in-depth analysis of the characteristics of the special training system for fencing, an abstract system of pedaling power based on the center of gravity and trend models is designed where the Kalman filter is reserved for the special application fields. Moreover, the core role of Kalman filter is carried out when original data information is needed to be obtained. By constructing a force distribution pressure center trajectory measurement model, a training load and training parameter measurement model, and a training level evaluation model, the data-level raw information is specially processed to generate more training parameters that meet specific characteristics, making the multisensor information fusion technology more efficient. It is well integrated into the fencing special ability training system. By applying fuzzy reasoning technology, the special training parameters and the relationship between these parameters are transformed into fuzzy sets and fuzzy rules, and the perceptual knowledge of sports training experience is transformed into fuzzy rules. With this decision-level data fusion method, the fencing special training system has certain intelligent functions.

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Section: Analysis Of Training Target Decision-making Functionmentioning

confidence: 99%

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Tang

2022

Computational Intelligence and Neuroscience

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Detecting influential node in a network using neutrosophic graph and its application

Mahapatra

Samanta²,

Pal

2023

Soft Comput

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Special irregular neutrosophic graphs

Banitalebi,

Ahn,

Borzooei

2024

IFS

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Recently, the neutrosophic graph has been introduced as an extension of fuzzy graphs and intuitionistic fuzzy graphs, which offers more compatibility and flexibility than these two types in modeling and structuring many actual issues. In this article, using neutrosophic highly strong arc, the new notions of (totally) special irregular, highly special irregular, strongly special irregular, neighborly special irregular and special arc-irregular of neutrosophic graphs are stated. Finally, one of their utilizations relevant to offering a fixed optimization model in decision making in diverse conditions is presented. In fact,we present a decision-making problem in real-world applied example which discusses the factors influencing a companys efficiency. The presented model is, in fact, a factor-based model wherein the impact score of each factor is divided into two types of direct and indirect influences, in which the concept of neutrosophic special dominating set plays a significant role.

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Study on neutrosophic graph with application in wireless network

Cited by 4 publications

References 55 publications

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Detecting influential node in a network using neutrosophic graph and its application

Special irregular neutrosophic graphs

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