Search Results - "Fuzzy C-means clustering algorithm"

An enhanced distributed differential evolution algorithm for portfolio optimization problems by Song, Yingjie, Zhao, Gaoyang, Zhang, Bin, Chen, Huayue, Deng, Wuquan, Deng, Wu

“…The population structure of differential evolution (DE) algorithm cannot maintain the diversity of the population to the greatest extent and help the…”
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A Probabilistic Linguistic Three-Way Decision Method With Regret Theory via Fuzzy c-Means Clustering Algorithm by Zhu, Jinxing, Ma, Xueling, Martinez, Luis, Zhan, Jianming

“…Aiming at multiattribute decision-making (MADM) problems with probabilistic linguistic term sets (PLTSs), and considering the effective rationality of a…”
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EM-IFCM: Fuzzy c-means clustering algorithm based on edge modification for imbalanced data by Pu, Yue, Yao, Wenbin, Li, Xiaoyong

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Multi-objective optimization of CFRP drilling parameters with a hybrid method integrating the ANN, NSGA-II and fuzzy C-means by Wang, Qian, Jia, Xiaoliang

“…A full factorial experiment is performed for the conventional dry drilling of CFRP with spindle speed, feed rate and point angle as drilling parameters,…”
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Vertical co-current two-phase flow regime identification using fuzzy C-means clustering algorithm and ReliefF attribute weighting technique by Pan, Liang-ming, Zhang, Muhao, Ju, Peng, He, Hui, Ishii, Mamoru

“…•Air–water two-phase upward and downward flow experiments are conducted in 25.4mm round tube.•ReliefF-FCM is proposed to identify the flow regime…”
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Industrial solid waste recycling using digital servitisation for decarbonisation to promote Net zero in the circular economy by Gao, Pengqun, Zhou, Yang, Sun, Lipeng, Alahmari, Saad, Innab, Nisreen, Venkatachalam, K., Ferrara, Massimiliano

“…•Research integrates AI, blockchain, and data analytics for efficient stakeholder coordination in recycling.•The project has 3 phases: Returned product…”
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A new robust fuzzy clustering framework considering different data weights in different clusters by Wu, Ziheng, Wang, Bing, Li, Cong

“…•A whole new data weighting method for fuzzy clustering is proposed.•l2-Norm regularization terms of the data weights and the feature weights are…”
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Automatic detection of HFOs based on singular value decomposition and improved fuzzy c-means clustering for localization of seizure onset zones by Wan, Xiongbo, Fang, Zelin, Wu, Min, Du, Yuxiao

“…This paper devises a new detector based on singular value decomposition (SVD) and improved fuzzy c-means (FCM) clustering for automatically detecting…”
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A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation by Alsmadi, Mutasem K.

“…It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images;…”
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Classification of the type of eco-geological environment of a coal mine district: A case study of an ecologically fragile region in Western China by Yang, Zhi, Li, Wenping, Pei, Yabing, Qiao, Wei, Wu, Yanli

“…Western China is characterized by abundant coal resources but it also faces the problems of poor water resources and fragile ecological environment, which have…”
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Medical Image Analysis of Lung Tumor Diagnosis Based on Generalized Fuzzy C-Means Clustering Algorithm by zwaid, Jassim Mohammed Ahmed, Murad, Masrah Azrifah Azmi, Khalid, Fatimah binti, Manshor, Noridayu, Al-Jumaily, Abdulmajeed

“…In recent years, the rapid development of medical imaging technology has brought medical image analysis into the era of big data. CT imaging technology is one…”
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A time-use activity-pattern recognition model for activity-based travel demand modeling by Hafezi, Mohammad Hesam, Liu, Lei, Millward, Hugh

“…This study develops a new comprehensive pattern recognition modeling framework that leverages activity data to derive clusters of homogeneous daily activity…”
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Forecasting carbon price using empirical wavelet transform and gated recurrent unit neural network by Liu, Hui, Shen, Lei

“…Carbon price, to a certain extent, reflects the intensity of a national emission reduction target, whereas carbon price forecasting is the basis for improving…”
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Predictive model of energy consumption for office building by using improved GWO-BP by Tian, Ying, Yu, Junqi, Zhao, Anjun

“…Building energy data analysis is a major branch of smart city development research. The usual back propagation neural network model for building energy…”
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Planar array capacitive imaging method based on data optimization by Zhang, Yuyan, Zhao, Zhenhao, Yao, Xu, Wen, Yintang, Luo, Xiaoyuan

“…This paper studies the problem of unstable capacitance data collected by the planar array capacitance imaging system, and proposes a method of capacitance data…”
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Experimental study and acoustic emission monitoring on damage mechanism of stud shear connectors by Yao, Yadong, Si, Haopeng, Liu, Ke, Ni, Tianmeng, Gao, Lu

“…Stud shear connectors are popular connectors used in steel-concrete composite structures. Assessing the condition and damage process of studs embedded in…”
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Non-destructive Identification of the geographical origin of red jujube by near-infrared spectroscopy and fuzzy clustering methods by Hu, Caiping, Xu, Hongjia, Fu, Zhaoming, Wu, Bin, Zhang, Rui, Zhi, Chenhong

“…The red jujube quality is closely associated with its place of origin. In order to quickly and easily identify the geographical origin of red jujube, the…”
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Intelligent smart agricultural production systems with energy efficient clustering-based optimized Siamese graph convolutional attention network by Muruganandam, K., Chauhan, Usha

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Identification of Rock Mass Discontinuity Sets Based on Density Peak Algorithm and Fuzzy C-Means Algorithm by Wu, Qiong, Kang, Qianqian, Tang, Huiming, Zhang, Wen, Liu, Qiang, Qin, Yue, Zhang, Chenxi, Liu, Zhiqi, Zhang, Bo, Lin, Zhiwei

“…Partitioning discontinuities into subsets is a crucial foundation for assessing the stability of rock masses in engineering. However, the conventional fuzzy…”
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Improving Wang–Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm by Gou, Jin, Hou, Feng, Chen, Wenyu, Wang, Cheng, Luo, Wei

“…The generation of fuzzy rules from samples for fuzzy modeling and control is significant. If samples contain noise and outliers, the Wang–Mendel (WM) method…”
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