Component-wise design method of fuzzy C-means clustering validity function based on CRITIC combination weighting

Wang, Guan; Wang, Jiesheng; Wang, Hongyu; Liu, Jiaxu

doi:10.1007/s11227-023-05234-y

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…The objective weighting method used in this article is the CRITIC weight method, which takes into account both the variability of indicators and their interrelationships [27,28]. The computational steps are as follows:…”

Section: Index Weighting Based On the Critic Weight Methodsmentioning

confidence: 99%

“…At present, wireless communication evaluation technology has been widely studied [26][27][28], and a high number of evaluation indexes have been proposed for the evaluation of sensor wireless communication. However, different usage conditions and communication methods have different indexes, so it is not necessary for us to include all indexes.…”

Section: Key Indexes Of the Wireless Communication Unit Failure Mecha...mentioning

confidence: 99%

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State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

Xiong,

Li,

Yang

et al. 2023

Sensors

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The energy harvesters used in self-powered wireless sensing technology, which has the potential to completely solve the power supply problem of the sensing nodes from the source, usually require mechanical movement or operate in harsh environments, resulting in a significant reduction in device lifespan and reliability. Therefore, the influencing factors and failure mechanisms of the operating status of self-powered wireless sensors were analyzed, and an innovative evaluation index system was proposed, which includes 4 primary indexes and 13 secondary indexes, including energy harvesters, energy management circuits, wireless communication units, and sensors. Next, the weights obtained from the subjective analytic hierarchy process (AHP) and objective CRITIC weight method were fused to obtain the weights of each index. A self-powered sensor evaluation scheme (FE-SPS) based on fuzzy comprehensive evaluation was implemented by constructing a fuzzy evaluation model. The advantage of this scheme is that it can determine the current health status of the system based on its output characteristics. Finally, taking vibration energy as an example, the operational status of the self-powered wireless sensors after 200 h of operation was comprehensively evaluated. The experimental results show that the test self-powered wireless sensor had the highest score of “normal”, which is 0.4847, so the evaluation result was “normal”. In this article, a reliability evaluation strategy for self-powered wireless sensor was constructed to ensure the reliable operation of self-powered wireless sensors.

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Section: Index Weighting Based On the Critic Weight Methodsmentioning

confidence: 99%

Section: Key Indexes Of the Wireless Communication Unit Failure Mecha...mentioning

confidence: 99%

State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

Xiong,

Li,

Yang

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning

Rendon

Giraldo

Bouwmans

et al. 2023

Engineering Applications of Artificial Intelligence

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Microplastics in freshwater food chains: Priority list based on identification of oxidative stress response characteristic

Li,

Ding,

et al. 2024

Journal of Hazardous Materials

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Component-wise design method of fuzzy C-means clustering validity function based on CRITIC combination weighting

Cited by 6 publications

References 32 publications

State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning

Microplastics in freshwater food chains: Priority list based on identification of oxidative stress response characteristic

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