Journal: IEEE T. Fuzzy Systems

Volume 18, Issue 3

437 -- 440Jerry M. Mendel, Jonathan Lawry, Lotfi A. Zadeh. Foreword to the Special Section on Computing With Words
441 -- 460Dongrui Wu, Jerry M. Mendel. Computing With Words for Hierarchical Decision Making Applied to Evaluating a Weapon System
461 -- 472Janusz Kacprzyk, Slawomir Zadrozny. Computing With Words Is an Implementable Paradigm: Fuzzy Queries, Linguistic Data Summaries, and Natural-Language Generation
473 -- 485Timothy C. Havens, James M. Keller, Mihail Popescu. Computing With Words With the Ontological Self-Organizing Map
486 -- 499Yongzhi Cao, Guoqing Chen. A Fuzzy Petri-Nets Model for Computing With Words
500 -- 514Jonathan Lawry, Yongchuan Tang. Granular Knowledge Representation and Inference Using Labels and Label Expressions
515 -- 531María José Gacto, Rafael Alcalá, Francisco Herrera. Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems
532 -- 545Adam Niewiadomski. On Finity, Countability, Cardinalities, and Cylindric Extensions of Type-2 Fuzzy Sets in Linguistic Summarization of Databases
546 -- 557Radim Belohlávek, Bernard De Baets, Jan Outrata, Vilém Vychodil. Computing the Lattice of All Fixpoints of a Fuzzy Closure Operator
558 -- 571Rukshan Batuwita, Vasile Palade. FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning
572 -- 584Maurizio Filippone, Francesco Masulli, Stefano Rovetta. Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces
585 -- 598Yong Liu, Yunliang Jiang, Lican Huang. Modeling Complex Architectures Based on Granular Computing on Ontology
599 -- 612Guy De Tré, Slawomir Zadrozny, Antoon Bronselaer. Handling Bipolarity in Elementary Queries to Possibilistic Databases
613 -- 628Shyi-Ming Chen, Li-Wei Lee. Fuzzy Decision-Making Based on Likelihood-Based Comparison Relations
629 -- 634Hirosato Seki, Hiroaki Ishii, Masaharu Mizumoto. On the Monotonicity of Fuzzy-Inference Methods Related to T-S Inference Method