Prioritization of types of wireless sensor networks by applying decision-making technique based on bipolar complex fuzzy linguistic heronian mean operators DOI
Ubaid ur Rehman, Tahir Mahmood

Journal of Intelligent & Fuzzy Systems, Journal Year: 2023, Volume and Issue: 46(1), P. 967 - 990

Published: Nov. 17, 2023

Wireless sensor networks are flexible monitoring systems that save track of, data, and communicate multipoint digital information interpretations to other devices. meaningly enhance the accuracy, breadth, extent of local data collection, commonly doing away with requirement for expensive wiring recurring manual checks at risky, remote, or inaccessible locations. As a result, it is utilized keep an eye on environmental physical parameters. In this manuscript, we expand Heronian mean operators in model bipolar complex fuzzy linguistic set concoct arithmetic mean, weighted geometric operators. We also inspect special cases invented Moreover, technique decision-making assistance selection prioritization various types dilemma, prioritize by employing concocted taking artificial set. To reveal influence excellence work, comparative study given manuscript.

Language: Английский

A fast DBSCAN algorithm using a bi-directional HNSW index structure for big data DOI
Shaoyuan Weng, Zongwen Fan,

Jin Gou

et al.

International Journal of Machine Learning and Cybernetics, Journal Year: 2024, Volume and Issue: 15(8), P. 3471 - 3494

Published: March 4, 2024

Language: Английский

Citations

1
An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components DOI
Zongwen Fan, Jin Gou, Shaoyuan Weng

et al.

IEEE Transactions on Artificial Intelligence, Journal Year: 2024, Volume and Issue: 5(9), P. 4574 - 4584

Published: April 5, 2024

Concrete is a vital component in modern construction, prized for its strength, durability, and versatility. Accurately determining the quantities of concrete components crucial civil engineering applications to optimize resources (e.g., manpower financial resources). In this article, we propose an unbiased Fuzzy-Weighted Relative Error Support Vector Machine (UFW-RE-SVM) reverse prediction components. First, add term target function UFW-RE-SVM obtaining model. Second, design fuzzy-weighted operation indicate sample importance by incorporating fuzzy membership values into UFW-RE- SVM. The nth root introduced address exponential explosion issue operation. Finally, considering sensitive hyper-parameters multi-output prediction, Whale Optimization Algorithm (WOA) utilized hyper-parameter optimization effectiveness tasks. We fitness based on results from multiple balance performance predictions. Experimental show that our proposed model outperforms existing works predicting terms mean absolute relative error, standard deviation, square error. Further, statistical test shows WOA two other metaheuristics can significantly improve performance. This indicates term, operation, are effective improving With these promising results, could provide decision-makers with valuable tool desired qualities.

Language: Английский

Citations

0
Exploring Regression Models and Optimization Techniques for Accurate Body Fat Prediction: A Comparative Approach DOI
Anshul Kunwar,

Shreya Pandey,

Aman Pandey

et al.

Published: Feb. 21, 2024

Globally a lot of individuals are currently struggling with the issue obesity, this study explores fascinating subject body fat prediction while examining complex world regression modeling. In investigation, delicate balance between need for robustness and quest accuracy is revealed when choosing algorithms. situation, Ridge Regression emerges as superior choice due to its exceptional predictive in presence outliers. This finding expands horizons techniques, particularly scenarios characterized by noisy or erratic data. Furthermore, we delve into crucial aspect feature pre-processing, emphasizing pivotal role standardization enhancing performance. Our unravels compelling revelation: significant positive association exists age, weight, percentage. Integrating age variable augments precision prediction, offering substantial potential improving outcomes healthcare fitness sectors, through age-specific assessments interventions. summary, our research underscores superiority especially dealing We highlight instrumental scaling such standardization, elevating capabilities. By incorporating key determinant measurement, lay groundwork future investigations innovations that promise enhanced tracking health. contributes refining provides pathway tailored health strategies.

Language: Английский

Citations

0
A whale optimization algorithm-based ensemble model for power consumption prediction DOI
Shaoyuan Weng, Zimeng Liu, Zongwen Fan

et al.

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Language: Английский

Citations

0
Prioritization of types of wireless sensor networks by applying decision-making technique based on bipolar complex fuzzy linguistic heronian mean operators DOI
Ubaid ur Rehman, Tahir Mahmood

Journal of Intelligent & Fuzzy Systems, Journal Year: 2023, Volume and Issue: 46(1), P. 967 - 990

Published: Nov. 17, 2023

Wireless sensor networks are flexible monitoring systems that save track of, data, and communicate multipoint digital information interpretations to other devices. meaningly enhance the accuracy, breadth, extent of local data collection, commonly doing away with requirement for expensive wiring recurring manual checks at risky, remote, or inaccessible locations. As a result, it is utilized keep an eye on environmental physical parameters. In this manuscript, we expand Heronian mean operators in model bipolar complex fuzzy linguistic set concoct arithmetic mean, weighted geometric operators. We also inspect special cases invented Moreover, technique decision-making assistance selection prioritization various types dilemma, prioritize by employing concocted taking artificial set. To reveal influence excellence work, comparative study given manuscript.

Language: Английский

Citations

0