An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging by Leila Honari mahmod, Rahil Hosseini, Mahd Mazinani

“…This model implements human experience with membership functions and fuzzy rules and is a general method for combining knowledge, intelligent technology, control and decision making. …”
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Dynamic Takagi-Sugeno Model for the Control of Ultrasonic Motor by Shi Jingzhuo, Lv Lin, Zhang Yu

“…In order to overcome these defects, equalized universe method is used in this paper to get clusters centers and obtain fuzzy clustering membership functions, and then, the unknown parameters of the conclusions of fuzzy rules are identified using least-square method. …”
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Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator by Zhumu Fu, Aiyun Gao, Xiaohong Wang, Xiaona Song

“…Taking the quantified ICE torque, the quantified SOC of the batteries, and the quantified ICE speed as inputs, and regarding the output torque demanded on the ICE as an output, a fuzzy logic controller (FLC) with relevant fuzzy rules has been developed to determine the optimal torque distribution among the ICE, the ISG, and the electric motor/generator (EMG) effectively. …”
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FBiLSTM-Attention short-term load forecasting based on fuzzy logic by Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG

“…Secondly, K-Means clustering was used to transform the data of each feature into fuzzy rules and introduce fuzzy logic processing. In terms of model structure, a bi-directional long short-term memory (BiLSTM) and attention mechanism (Attention) were adopted. …”
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Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles by Xizheng Zhang, Zhangyu Lu, Ming Lu

“…Firstly, the pruned fuzzy rules are formulated by the SOC change of battery and super-capacitor to preallocate the required power of vehicle. …”
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Credit Risk Prediction Using Fuzzy Immune Learning by Ehsan Kamalloo, Mohammad Saniee Abadeh

“…This paper proposes a new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks. …”
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Edge Detection via Edge-Strength Estimation Using Fuzzy Reasoning and Optimal Threshold Selection Using Particle Swarm Optimization by Ajay Khunteta, D. Ghosh

“…In this paper, we propose to use a set of fuzzy rules to estimate the edge-strength. This is followed by selecting a threshold; only pixels having edge-strength above the threshold are considered to be edge pixels. …”
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Improving the Accuracy Rate of Link Quality Estimation Using Fuzzy Logic in Mobile Wireless Sensor Network by Zhirui Huang, Lip Yee Por, Tan Fong Ang, Mohammad Hossein Anisi, Mohammed Sani Adam

“…The Inference module obtains the rule outputs based on the proposed fuzzy rules and the given inputs acquired from the Fuzzifier module. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient descent algorithm was employed to optimize the network parameters. …”
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An FRLQG Controller-Based Small-Signal Stability Enhancement of Hybrid Microgrid Using the BCSSO Algorithm by Ginbar Ensermu, M. Vijayashanthi, Merugu Suresh, Abdul Subhani Shaik, B. Premalatha, G. Devadasu

“…The PV’s maximum power flow is recognized by maximum power point tracking (MPPT) in the bidirectional switched buck-boost converter (BSBBC), which is utilized in this research, and by utilizing the fuzzy ruled linear quadratic Gaussian (FRLQG), the converters are controlled to assure safe operation along with soft dynamics. …”
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Type-II Fuzzy Decision Support System for Fertilizer by Ather Ashraf, Muhammad Akram, Mansoor Sarwar

“…This type-II fuzzy system takes cropping time and soil nutrients in the form of spatial surfaces as input, fuzzifies it using a type-II fuzzy membership function, and implies fuzzy rules on it in the fuzzy inference engine. The output of the fuzzy inference engine, which is in the form of interval value type-II fuzzy sets, reduced to an interval type-I fuzzy set, defuzzifies it to a crisp value and generates a spatial surface of fertilizers. …”
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Fuzzy Filtering Method for Color Videos Corrupted by Additive Noise by Volodymyr I. Ponomaryov, Hector Montenegro-Monroy, Luis Nino-de-Rivera, Heydy Castillejos

“…These gradient values give the information about the level of contamination then the designed fuzzy rules are used to preserve the image features (textures, edges, sharpness, chromatic properties, etc.). …”
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A Clustering and SVM Regression Learning-Based Spatiotemporal Fuzzy Logic Controller with Interpretable Structure for Spatially Distributed Systems by Xian-xia Zhang, Jun-da Qi, Bai-li Su, Shi-wei Ma, Hong-bo Liu

“…Secondly, the initial rule-base is simplified by merging similar 3-D fuzzy sets and similar 3-D fuzzy rules based on similarity measure technique. Thirdly, the consequent parameters are learned by a linear SVM regression algorithm. …”
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Fuzzy-Swarm Intelligence-Based Short-Term Load Forecasting Model as a Solution to Power Quality Issues Existing in Microgrid System by Demsew Mitiku Teferra, Livingstone M. H. Ngoo, George N. Nyakoe

“…The fuzzy load prediction model can effectively handle these nonlinearity and uncertainty characteristics to have an accurate load forecast, but the main challenge with this model is its inability to accommodate a large volume of historical load and weather information when the membership function of the input and output fuzzy variables and the number of the fuzzy rules are tremendous. The swarm intelligence load forecast model based on particle swarm optimization algorithms can improve the limitations of the fuzzy system and increase its forecasting performance. …”
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Predictive Analysis of Economic Chaotic Time Series Based on Chaotic Genetics Combined with Fuzzy Decision Algorithm by Xiuge Tan

“…Based on genetic algorithm and fuzzy rules, the chaotic genetics combined with fuzzy decision-making can use simple, fast, and flexible means to complete the goals of automation and intelligence that are difficult to traditional predicting algorithms. …”
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A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine by Jose M. Gonzalez-Cava, José Antonio Reboso, José Luis Casteleiro-Roca, José Luis Calvo-Rolle, Juan Albino Méndez Pérez

“…In addition, the result of the algorithm in terms of fuzzy rules and membership functions will define a fuzzy-based decision system for the drug delivery process. …”
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Designing a competency model for the succession of nursing managers, using the Fuzzy Inference System by Marzieh Khorasani-Gerdehkouhi, Seyed Mahmoud Taheri, Mohammad Ali Cheraghi

“…Input and output variables were defined, and fuzzy questionnaires were designed using pair-wise comparison matrices to gather expert opinions on fuzzy rules. These rules were analyzed using MATLAB (R 2019 b) software to compare the effect of each criterion on other levels. …”
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Genetic Fuzzy System untuk Klasifikasi Tutupan Lahan Berdasarkan Foto Udara Unmanned Aerial Vehicle (UAV) by Budi Darma Setiawan, Alfi Nur Rusydi

“…The process consists of two stages, namely the training process, to find good fuzzy rules, and then proceed with tuning processes, namely the process of shifting the value constraints on the membership function of the fuzzy set used. …”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…The combination of the 5 membership functions constructed 10.080 fuzzy rules, that's used to know wheater tourists enables them to go to Lombok with the limitation that they have. …”
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