• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 103 matches

• 2024
• 
  Suhang Gu, Yongxin Chou, Jie Zhou, Zhibin Jiang, Mingli Lu:
  Takagi-Sugeno-Kang Fuzzy Clustering by Direct Fuzzy Inference on Fuzzy Rules. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1264-1279 (2024)
• 
  Ramiro Saltos, Richard Weber, Dayana Saltos:
  FuSVC: A New Labeling Rule for Support Vector Clustering Using Fuzzy Sets. IEEE Trans. Fuzzy Syst. 32(10): 5777-5790 (2024)
• 
  Zheng Wang, Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Jin Hee Yoon:
  Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation. IEEE Trans. Fuzzy Syst. 32(10): 5674-5686 (2024)
• 2023
• 
  Liu Yuebo, Yu Haitao, Li Hongyan, Liu Qingxue:
  Fuzzy Clustering and Routing Protocol With Rules Tuned by Improved Particle Swarm Optimization for Wireless Sensor Networks. IEEE Access 11: 128784-128800 (2023)
• 
  Sang-Beom Park, Sung-Kwun Oh, Eun-Hu Kim, Witold Pedrycz:
  Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy. Expert Syst. Appl. 219: 119655 (2023)
• 
  Jinle Lin, Ruilin Xu, Changjing Shang, Qiang Shen:
  Towards Dynamic Fuzzy Rule Interpolation via Density-Based Spatial Clustering of Interpolated Outcomes. FUZZ 2023: 1-6
• 2022
• 
  Fang Zhao, Gang Li, Hongyue Guo, Lidong Wang:
  Rule-based models via the axiomatic fuzzy set clustering and their granular aggregation. Appl. Soft Comput. 130: 109692 (2022)
• 
  P. Peruma:
  Document Clustering Using Graph Based Fuzzy Association Rule Generation. Comput. Syst. Sci. Eng. 43(1): 203-218 (2022)
• 
  Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
  Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted ℓ₂ regularization strategy and augmented random vector functional link network. Fuzzy Sets Syst. 443(Part): 90-114 (2022)
• 
  Bingjie Zhang, Xiaoling Gong, Jian Wang, Fengzhen Tang, Kai Zhang, Wei Wu:
  Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule. Inf. Sci. 608: 313-338 (2022)
• 
  Murat Çolak, Ihsan Kaya, Ali Karasan, Melike Erdogan:
  Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles. Neural Comput. Appl. 34(7): 5479-5495 (2022)
• 
  Xingchen Hu, Yinghua Shen, Witold Pedrycz, Xianmin Wang, Adam Gacek, Bingsheng Liu:
  Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering. IEEE Trans. Cybern. 52(7): 6406-6419 (2022)
• 2021
• 
  Fakhrosadat Fanian, Marjan Kuchaki Rafsanjani, Arsham Borumand Saeid:
  Fuzzy multi-hop clustering protocol: Selection fuzzy input parameters and rule tuning for WSNs. Appl. Soft Comput. 99: 106923 (2021)
• 
  Seyyit Alper Sert, Adnan Yazici:
  Increasing energy efficiency of rule-based fuzzy clustering algorithms using CLONALG-M for wireless sensor networks. Appl. Soft Comput. 109: 107510 (2021)
• 
  David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis:
  Adaptive dialogue management using intent clustering and fuzzy rules. Expert Syst. J. Knowl. Eng. 38(1) (2021)
• 
  Long-Hao Yang, Fei-Fei Ye, Jun Liu, Ying-Ming Wang, Haibo Hu:
  An improved fuzzy rule-based system using evidential reasoning and subtractive clustering for environmental investment prediction. Fuzzy Sets Syst. 421: 44-61 (2021)
• 
  Dimitris S. Sfiris:
  Automatic fuzzy rules production based on clustering and implication selection. J. Intell. Fuzzy Syst. 40(3): 5565-5581 (2021)
• 
  Kaijie Xu, Hanyu E, Yinghui Quan, Ye Cui, Weike Nie:
  From granulation-degranulation mechanisms to fuzzy rule-based models: Augmentation of granular-based models with a double fuzzy clustering. J. Intell. Fuzzy Syst. 40(6): 12243-12252 (2021)
• 
  Amruta Lipare, Damodar Reddy Edla, Ramesh Dharavath:
  Fuzzy Rule Generation Using Modified PSO for Clustering in Wireless Sensor Networks. IEEE Trans. Green Commun. Netw. 5(2): 846-857 (2021)
• 
  Samanta Rosati, Noemi Giordano, Enrico Checcucci, Sabrina De Cillis, Francesco Porpiglia, Gabriella Balestra:
  Decision Support System for Target Prostate Biopsy Outcome Prediction: Clustering and FP-Growth Algorithm for Fuzzy Rules Extraction. SMARTERCARE@AI*IA 2021: 85-90
• 2020
• 
  Nikita Jain, Deepali Virmani, Ajith Abraham, Lorenzo Salas-Morera, Laura García-Hernández:
  Did They Sense it Coming? A Pipelined Approach for Tsunami Prediction Based on Aquatic Behavior Using Ensemble Clustering and Fuzzy Rule-Based Classification. IEEE Access 8: 166922-166939 (2020)
• 
  Fakhrosadat Fanian, Marjan Kuchaki Rafsanjani:
  A new fuzzy multi-hop clustering protocol with automatic rule tuning for wireless sensor networks. Appl. Soft Comput. 89: 106115 (2020)
• 
  Zongwen Fan, Raymond Chiong, Zhongyi Hu, Yuqing Lin:
  A multi-layer fuzzy model based on fuzzy-rule clustering for prediction tasks. Neurocomputing 410: 114-124 (2020)
• 
  Jacek M. Leski, Robert Czabanski, Michal Jezewski, Janusz Jezewski:
  Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data. IEEE Trans. Fuzzy Syst. 28(11): 2799-2813 (2020)
• 
  Robert Czabanski, Michal Jezewski, Jacek M. Leski, Tomasz Kupka, Radek Martinek:
  Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State. BIBE 2020: 358-364
• 2019
• 
  Srivani Anbu, Arunkumar Thangavelu, S. Denis Ashok:
  Fuzzy C-Means Based Clustering and Rule Formation Approach for Classification of Bearing Faults Using Discrete Wavelet Transform. Comput. 7(4): 54 (2019)
• 
  N. Suresh Kumar, M. Thangamani:
  Parallel Semi-supervised enhanced fuzzy Co-Clustering (PSEFC) and Rapid Association Rule Mining (RARM) based frequent route mining algorithm for travel sequence recommendation on big social media. Concurr. Comput. Pract. Exp. 31(14) (2019)
• 
  Neenavath Veeraiah, Battula Tirumala Krishna:
  Trust-aware FuzzyClus-Fuzzy NB: intrusion detection scheme based on fuzzy clustering and Bayesian rule. Wirel. Networks 25(7): 4021-4035 (2019)
• 2018
• 
  Ha Che-Ngoc, Anh-Thy Pham-Chau, Dibya Jyoti Bora:
  A New Fuzzy Rule Based Contrast Enhancement Method using The Two-Steps Automatic Clustering Algorithm. J. Adv. Eng. Comput. 2(4): 239-250 (2018)
• 2017
• 
  Om Prakash Mahela, Abdul Gafoor Shaik:
  Recognition of power quality disturbances using S-transform based ruled decision tree and fuzzy C-means clustering classifiers. Appl. Soft Comput. 59: 243-257 (2017)

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