Unlocking AI-Powered Tools Adoption among University Students: A Fuzzy-Set Approach by Mohamed Soliman, Reham Adel Ali, Imran Mahmud, Tawat Noipom

Subjects: Get full text

Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach by E. Golden Julie, S. Tamil Selvi

“…The proposed scheme NFEACS is compared with related clustering schemes, cluster-head election mechanism using fuzzy logic, and energy aware fuzzy unequal clustering. …”
Get full text

Some Coincidence and Common Fixed Point Results in Fuzzy Metric Space with an Application to Differential Equations by Saif Ur Rehman, Iqra Shamas, Naeem Jan, Abdu Gumaei, Mabrook Al-Rakhami

“…In this paper, we study some coincidence point and common fixed point theorems in fuzzy metric spaces by using three-self-mappings. …”
Get full text

Fuzzy Modeling for the Dynamics of Alcohol-Related Health Risks with Changing Behaviors via Cultural Beliefs by Maranya M. Mayengo, Moatlhodi Kgosimore, Snehashish Chakraverty

“…In this paper, we propose and analyze a fuzzy model for the health risk challenges associated with alcoholism. …”
Get full text

Tactical Analysis of Table Tennis Video Skills Based on Image Fuzzy Edge Recognition Algorithm by Weiqiang Li

Subjects: Get full text

Interval-Valued q-Rung Orthopair Fuzzy QUALIFLEX Decision Analysis Method with Dombi Operators by Benting Wan, Xiaolu Zhang, Meifang Xiong, Zhenwu Wang

“…As a new and useful decision tool, interval-valued q-rung orthopair fuzzy set (IVq-ROFS), has strong ability to address uncertain or imprecision information in practical decision-making processes. …”
Get full text

Adaptive Fuzzy Control for Stochastic Pure-Feedback Nonlinear Systems with Unknown Hysteresis and External Disturbance by Xikui Liu, Yingying Ge, Yan Li

“…Using the backstepping technique, a new adaptive fuzzy control scheme is proposed. The results show that the proposed control scheme ensures that all signals of the closed-loop system are semiglobally uniformly bounded and the tracking error converges to the small neighborhood of origin in the sense of mean quartic value. …”
Get full text

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction by Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

“…This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system (DENFIS), hybrid neural-fuzzy inference system (HyFIS), and adaptive neurofuzzy inference system (ANFIS) for AT prediction. …”
Get full text

Research on PMF Model Based on BP Neural Network Ensemble Learning Bagging and Fuzzy Clustering by Zhengjin Zhang, Guilin Huang, Yong Zhang, Siwei Wei, Baojin Shi, Jiabao Jiang, Baohua Liang

“…Compared with the existing PMF models, the root mean square error of the PMF model after fuzzy clustering is increased by 9.27% and 3.95%, and the average absolute error is increased by 21.14% and 1.11%, respectively; then, the performance of the first mock exam is introduced. …”
Get full text

A Novel Method for Multiattribute Decision Making with Dual Hesitant Fuzzy Triangular Linguistic Information by Yanbing Ju, Shanghong Yang, Xiaoyue Liu

“…Then, some dual hesitant fuzzy triangular linguistic geometric aggregation operators are developed for aggregating the DHFTLEs, including dual hesitant fuzzy triangular linguistic weighted geometric (DHFTLWG) operator, dual hesitant fuzzy triangular linguistic ordered weighted geometric (DHFTLOWG) operator, dual hesitant fuzzy triangular linguistic hybrid geometric (DHFTLHG) operator, generalized dual hesitant fuzzy triangular linguistic weighted geometric (GDHFTLWG) operator, and generalized dual hesitant fuzzy triangular linguistic ordered weighted geometric (GDHFTLOWG) operator. …”
Get full text

Generalized Exponential Fuzzy Entropy Approach for Automatic Segmentation of Chest CT with COVID-19 Infection by Saud S. Alotaibi, Ahmed Elaraby

Get full text

Environmental Evaluation of Coal Mines Based on Generalized Linear Model and Nonlinear Fuzzy Analytic Hierarchy by Xueming Du, Hongyuan Fang, Kang Liu, Binghan Xue, Xin Cai

“…Based on the importance degree of each index factor, a pairwise comparison matrix was constructed by the logarithmic fuzzy preference programming method, and the influence weight value of each index factor was accurately obtained through MATLAB software. …”
Get full text

A institucionalização da participação comunitária no SUS e a função imunitária do direito by Lutiane de Lara, Neuza Maria de Fátima Guareschi

Get full text

Vulnerability parameters in picture fuzzy soft graphs and their applications to locate a diagnosis center in cities by R. V Jaikumar, Raman Sundareswaran, Marayanagaraj Shanmugapriya, Said Broumi, Talal Ali Al-Hawary

Subjects: “…picture fuzzy soft graphs…”
Get full text

An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive by Rekha Tidke, Anandita Chowdhury

Subjects: Get full text

Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines by Simrandeep Kaur, Arti Singh, Abha Aggarwal

Subjects: “…fuzzy support vector machines…”
Get full text

FedWFC: Federated learning with weighted fuzzy clustering for handling heterogeneous data in MIoT networks by Le Sun, Shunqi Liu, Ghulam Muhammad

Subjects: Get full text

Pythagorean m-Polar Fuzzy Weighted Aggregation Operators and Algorithm for the Investment Strategic Decision Making by Muhammad Riaz, Khalid Naeem, Ronnason Chinram, Aiyared Iampan

“…We introduce Pythagorean m-polar fuzzy weighted averaging (PmFWA), Pythagorean m-polar fuzzy weighted geometric (PmFWG), symmetric Pythagorean m-polar fuzzy weighted averaging (SPmFWA), and symmetric Pythagorean m-polar fuzzy weighted geometric (SPmFWG) operators for aggregating uncertain data. …”
Get full text

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms by Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak

“…Recently, K-means and fuzzy C means (FCM) algorithms have been applied in literature with many datasets. …”
Get full text

Fuzzy Environmental Model for Evaluating Water Quality of Sangam Zone during Maha Kumbh 2013 by Pankaj Srivastava, Anjali Burande, Neeraja Sharma

Get full text