Journal: Int. J. Approx. Reasoning

Volume 49, Issue 3

523 -- 538Mohammad R. Akbarzadeh-Totonchi, Mohsen Davarynejad, N. Pariz. Adaptive fuzzy fitness granulation for evolutionary optimization
539 -- 554Piotr Honko. Description and classification of complex structured objects by applying similarity measures
555 -- 574Minh Ha-Duong. Hierarchical fusion of expert opinions in the Transferable Belief Model, application to climate sensitivity
575 -- 594Astride Aregui, Thierry Denoeux. Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities
595 -- 606Jouni Järvinen, Michiro Kondo, Jari Kortelainen. Logics from Galois connections
607 -- 622Luciano Sánchez, M. Rosario Suárez, José Ramón Villar, Inés Couso. Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data
623 -- 630Yee Leung, Jianmin Ma, Wen-Xiu Zhang, Tong-Jun Li. Dependence-space-based attribute reductions in inconsistent decision information systems
631 -- 648Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz. Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation
649 -- 663Sébastien Destercke, Didier Dubois, Eric Chojnacki. Unifying practical uncertainty representations - I: Generalized p-boxes
664 -- 677Sébastien Destercke, Didier Dubois, Eric Chojnacki. Unifying practical uncertainty representations. II: Clouds
678 -- 688Tuan-Fang Fan, Churn-Jung Liau, Tsau Young Lin. A theoretical investigation of regular equivalences for fuzzy graphs
689 -- 700Fan Min, Qihe Liu, Chunlan Fang. Rough sets approach to symbolic value partition
701 -- 711Barbara Vantaggi. Statistical matching of multiple sources: A look through coherence

Volume 49, Issue 2

253 -- 254Jingtao Yao, Yiyu Yao, Wojciech Ziarko. Probabilistic rough sets: Approximations, decision-makings, and applications
255 -- 271Yiyu Yao. Probabilistic rough set approximations
272 -- 284Wojciech Ziarko. Probabilistic approach to rough sets
285 -- 300Salvatore Greco, Benedetto Matarazzo, Roman Slowinski. Parameterized rough set model using rough membership and Bayesian confirmation measures
301 -- 315Alicja Mieszkowicz-Rolka, Leszek Rolka. Fuzzy rough approximations of process data
316 -- 330Eugene Eberbach. Approximate reasoning in the algebra of bounded rational agents
331 -- 343Gang Xie, Jinlong Zhang, Kin Keung Lai, Lean Yu. Variable precision rough set for group decision-making: An application
344 -- 0Milan Studený, Jirí Vomlel. Editorial Note
345 -- 361Alessandro Antonucci, Marco Zaffalon. Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
362 -- 378Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen, Markus Palviainen. Estimation of causal effects using linear non-Gaussian causal models with hidden variables
379 -- 397Søren Holbech Nielsen, Thomas D. Nielsen. Adapting Bayes network structures to non-stationary domains
398 -- 416Silja Renooij, Linda C. van der Gaag. Evidence and scenario sensitivities in naive Bayesian classifiers
417 -- 421Yao Ouyang, Jinxuan Fang, Zhenjiang Zhao. A generalization of additive generator of triangular norms
422 -- 435Margarita Mas, Miquel Monserrat, Joan Torrens. Modus ponens and modus tollens in discrete implications
436 -- 450Wenhui Liao, Qiang Ji. Efficient non-myopic value-of-information computation for influence diagrams
451 -- 465Ying-Ming Wang, Kwai-Sang Chin. A linear goal programming priority method for fuzzy analytic hierarchy process and its applications in new product screening
466 -- 477Md. Aquil Khan, Mohua Banerjee. Formal reasoning with rough sets in multiple-source approximation systems
478 -- 487Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre. A characterization of interval-valued residuated lattices
488 -- 502Sajjad Haider, Alexander H. Levis. Modeling time-varying uncertain situations using Dynamic Influence Nets
503 -- 521Anders L. Madsen. Belief update in CLG Bayesian networks with lazy propagation

Volume 49, Issue 1

1 -- 2Thomas Lukasiewicz. Logical approaches to imprecise probabilities
3 -- 17Fabio Gagliardi Cozman, Cassio Polpo de Campos, José Carlos Ferreira da Rocha. Probabilistic logic with independence
18 -- 34Thomas Lukasiewicz. Probabilistic description logic programs under inheritance with overriding for the Semantic Web
35 -- 51Nivea de Carvalho Ferreira, Michael Fisher, Wiebe van der Hoek. Specifying and reasoning about uncertain agents
52 -- 66Miodrag Raskovic, Zoran Markovic, Zoran Ognjanovic. A logic with approximate conditional probabilities that can model default reasoning
67 -- 82Florence Dupin de Saint-Cyr, Henri Prade. Handling uncertainty and defeasibility in a possibilistic logic setting
83 -- 98Nic Wilson. Extending uncertainty formalisms to linear constraints and other complex formalisms
99 -- 100Paolo Vicig. Imprecise probabilities in finance and economics
101 -- 116Daniel Berleant, L. Andrieu, Jean-Philippe Argaud, F. Barjon, Mei-Peng Cheong, Mathieu Dancre, Gerald B. Sheblé, C.-C. Teoh. Portfolio management under epistemic uncertainty using stochastic dominance and information-gap theory
117 -- 129Jean-Yves Jaffray, Meglena Jeleva. Information processing under imprecise risk with an insurance demand illustration
130 -- 139Sebastian Maaß. Coherent and convex fair pricing and variability measures
140 -- 147Silvia Muzzioli, Huguette Reynaerts. American option pricing with imprecise risk-neutral probabilities
148 -- 158Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane. The fundamental theorems of prevision and asset pricing
159 -- 174Paolo Vicig. Financial risk measurement with imprecise probabilities
175 -- 197Vladimir Vovk, Glenn Shafer. The game-theoretic capital asset pricing model
198 -- 211Simon Coupland, Robert John. New geometric inference techniques for type-2 fuzzy sets
212 -- 233Hermann Held, Thomas Augustin, Elmar Kriegler. Bayesian learning for a class of priors with prescribed marginals
234 -- 251Nikos Gorogiannis, Anthony Hunter. Implementing semantic merging operators using binary decision diagrams