Journal: Int. J. Approx. Reasoning

Volume 18, Issue 3-4

169 -- 0Antonio Gisolfi, Salvatore Sessa. Preface Algebraic models and MV-algebras for fuzzy reasoning
171 -- 175Salvatore Sessa, Suryansu Ray. Representation of an MV-algebra by its triangular norms
177 -- 189C. S. Hoo. Some fuzzy concepts of BCI, BCK and MV-algebras
191 -- 200Vilém Novák. Open theories, consistency and related results in fuzzy logic
201 -- 215George Georgescu, Ioana Leustean. Probabilities on Lukasiewicz-Moisil algebras
217 -- 229Mihir K. Chakraborty, Jayanta Sen. MV-algebras embedded in a CL-algebra
231 -- 238Costas A. Drossos, Panagis Karazeris. Coupling an MV-algebra with a Boolean algebra
239 -- 249Hung T. Nguyen, Vladik Kreinovich, Piotr Wojciechowski. Strict Archimedean t-norms and t-conorms as universal approximators
251 -- 270Ramón Sangüesa, Ulises Cortés, Antonio Gisolfi. A parallel algorithm for building possibilistic causal networks
271 -- 303Luigi Di Lascio, Enrico Fischetti, Vincenzo Loia. Fuzzy management of user actions during hypermedia navigation

Volume 18, Issue 1-2

1 -- 19Fabrice Janez, Alain Appriou. Theory of evidence and non-exhaustive frames of discernment: Plausibilities correction methods
21 -- 34Masahiro Inuiguchi, Masatoshi Sakawa. Robust optimization under softness in a fuzzy linear programming problem
35 -- 52Ronald R. Yager. Fusion of ordinal information using weighted median aggregation
53 -- 91Luis D. Hernández, Serafín Moral, Antonio Salmerón. A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques
93 -- 106Ivo Düntsch, Günther Gediga. Simple data filtering in rough set systems
107 -- 130Josep Puyol-Gruart, Lluis Godo, Carles Sierra. Specialisation calculus and communication
131 -- 144Hamid R. Berenji, Pratap S. Khedkar. Using fuzzy logic for performance evaluation in reinforcement learning
145 -- 167Ramón Sangüesa, Joan Cabós, Ulises Cortés. Possibilistic conditional independence: A similarity-based measure and its application to causal network learning