Enhancing extended belief rule-based systems for classification problems using decomposition strategy and overlap function

[1]  Huaijiang Sun,et al.  Semi-supervised learning framework based on statistical analysis for image set classification , 2020, Pattern Recognit..

[2]  Francisco Herrera,et al.  Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Francisco Herrera,et al.  Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations , 2010, Fuzzy Sets Syst..

[4]  Humberto Bustince,et al.  n-Dimensional overlap functions , 2016, Fuzzy Sets Syst..

[5]  Yang Liu,et al.  A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm , 2017, Inf. Sci..

[6]  Francisco Herrera,et al.  An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes , 2011, Pattern Recognit..

[7]  Lei Chen,et al.  An environmental pollution management method based on extended belief rule base and data envelopment analysis under interval uncertainty , 2020, Comput. Ind. Eng..

[8]  Abdelhamid Helali,et al.  Energy‐efficient fuzzy logic‐based cross‐layer hierarchical routing protocol for wireless Internet‐of‐Things sensor networks , 2021, Int. J. Commun. Syst..

[9]  Jian-Bo Yang,et al.  Environmental impact assessment using the evidential reasoning approach , 2006, Eur. J. Oper. Res..

[10]  Yu-ya Cui,et al.  New approach of multi-path reliable transmission for marginal wireless sensor network , 2020, Wirel. Networks.

[11]  Humberto Bustince,et al.  General interval-valued overlap functions and interval-valued overlap indices , 2020, Inf. Sci..

[12]  Eyke Hüllermeier,et al.  Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting , 2010, Pattern Recognit..

[13]  Ying-Ming Wang,et al.  Extended belief rule based system with joint learning for environmental governance cost prediction , 2020 .

[14]  Humberto Bustince,et al.  Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method , 2016, Inf. Sci..

[15]  Yang Xiang,et al.  A novel organizing scheme of single topic user group based on trust chain model in social network , 2018, Int. J. Commun. Syst..

[16]  Zhibin Jiang,et al.  Multi-view local linear KNN classification: theoretical and experimental studies on image classification , 2020, Int. J. Mach. Learn. Cybern..

[17]  Jian-Bo Yang,et al.  Belief rule-base inference methodology using the evidential reasoning Approach-RIMER , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[18]  Kwai-Sang Chin,et al.  Multi-attribute search framework for optimizing extended belief rule-based systems , 2016, Inf. Sci..

[19]  An Zhang,et al.  A new rule reduction and training method for extended belief rule base based on DBSCAN algorithm , 2020, Int. J. Approx. Reason..

[20]  Yingjie Wu,et al.  A Balance Adjusting Approach of Extended Belief-Rule-Based System for Imbalanced Classification Problem , 2020, IEEE Access.

[21]  Yu-ya Cui,et al.  A New Algorithm of the Best Path Selection Based on Machine Learning , 2019, IEEE Access.

[22]  Xin Zhao,et al.  A structure optimization method for extended belief-rule-based classification system , 2020, Knowl. Based Syst..

[23]  Eva Volná,et al.  Enhanced ensemble-based classifier with boosting for pattern recognition , 2017, Appl. Math. Comput..

[24]  Ting Zhang,et al.  A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle , 2021, Neurocomputing.

[25]  Francisco Herrera,et al.  Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data , 2016, Knowl. Based Syst..

[26]  Mohammed Al-Smadi,et al.  Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions , 2020, Soft Comput..

[27]  Ting Zhang,et al.  Novel method of mobile edge computation offloading based on evolutionary game strategy for IoT devices , 2020 .

[28]  Ting Zhang,et al.  Novel dynamic source routing protocol (DSR) based on genetic algorithm‐bacterial foraging optimization (GA‐BFO) , 2018, Int. J. Commun. Syst..

[29]  Jun Liu,et al.  A Micro-Extended Belief Rule-Based System for Big Data Multiclass Classification Problems , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[30]  Seref Sagiroglu,et al.  The development of intuitive knowledge classifier and the modeling of domain dependent data , 2013, Knowl. Based Syst..

[31]  Jesús Alcalá-Fdez,et al.  KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..

[32]  Long-Hao Yang,et al.  A consistency analysis-based rule activation method for extended belief-rule-based systems , 2018, Inf. Sci..

[33]  Francisco Herrera,et al.  Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems , 2015, Knowl. Based Syst..

[34]  Omar Abu Arqub,et al.  Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations , 2017, Neural Computing and Applications.

[35]  Changle Li,et al.  A Topological Approach to Secure Message Dissemination in Vehicular Networks , 2018, IEEE Transactions on Intelligent Transportation Systems.

[36]  Alberto Calzada,et al.  A novel belief rule base representation, generation and its inference methodology , 2013, Knowl. Based Syst..

[37]  Omar Abu Arqub.  Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations , 2017 .

[38]  Insup Lee,et al.  Permission to speak: A logic for access control and conformance , 2011, J. Log. Algebraic Methods Program..

[39]  Francisco Herrera,et al.  Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power , 2010, Inf. Sci..

[40]  Mikel Galar Idoate,et al.  Fuzzy rule-based classification systems for multi-class problems using binary decomposition strategies: on the influence of n-dimensional overlap functions in the fuzzy reasoning method , 2016 .

[41]  Jingbo He,et al.  A dynamic selection ensemble method for target recognition based on clustering and randomized reference classifier , 2019, Int. J. Mach. Learn. Cybern..

[42]  Eyke Hüllermeier,et al.  Learning valued preference structures for solving classification problems , 2008, Fuzzy Sets Syst..

[43]  Ting Zhang,et al.  New method of traffic flow forecasting based on quantum particle swarm optimization strategy for intelligent transportation system , 2020, Int. J. Commun. Syst..

[44]  Francisco Herrera,et al.  Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies , 2015, IEEE Transactions on Fuzzy Systems.

[45]  Lei Chen,et al.  A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems , 2017, Knowl. Based Syst..

[46]  Alberto Calzada,et al.  A New Dynamic Rule Activation Method for Extended Belief Rule-Based Systems , 2015, IEEE Transactions on Knowledge and Data Engineering.

[47]  Jun-Ying Liu,et al.  Combining One-vs-One Decomposition and Instance-Based Learning for Multi-Class Classification , 2020, IEEE Access.

[48]  Humberto Bustince,et al.  General overlap functions , 2019, Fuzzy Sets Syst..

[49]  Guoqiang Mao,et al.  New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks , 2019, IEEE Transactions on Intelligent Transportation Systems.