Journal: Int. J. Approx. Reasoning

Volume 55, Issue 9

1819 -- 1829Didier Dubois, Lluis Godo, Henri Prade. Weighted logics for artificial intelligence - an introductory discussion
1830 -- 1842Nebojsa Ikodinovic, Zoran Ognjanovic, Aleksandar Perovic, Miodrag Raskovic. Hierarchies of probabilistic logics
1843 -- 1865Angelina Ilic-Stepic, Zoran Ognjanovic, Nebojsa Ikodinovic. Conditional p-adic probability logic
1866 -- 1889Davide Ciucci, Didier Dubois, Jonathan Lawry. Borderline vs. unknown: comparing three-valued representations of imperfect information
1890 -- 1916Marco Cerami, Àngel García-Cerdaña, Francesc Esteva. On finitely-valued Fuzzy Description Logics
1917 -- 1938Stefan Borgwardt, Rafael Peñaloza. Consistency reasoning in lattice-based fuzzy Description Logics
1939 -- 1970Andreas Ecke, Rafael Peñaloza, Anni-Yasmin Turhan. Completion-based generalization inferences for the Description Logic ELOR with subjective probabilities
1971 -- 2003Marjon Blondeel, Steven Schockaert, Dirk Vermeir, Martine De Cock. Complexity of fuzzy answer set programming under Łukasiewicz semantics
2004 -- 2027Souhila Kaci, Christophe Labreuche. Valued preference-based instantiation of argumentation frameworks with varied strength defeats
2028 -- 2048Leila Amgoud. Postulates for logic-based argumentation systems
2049 -- 2070Natalia Criado, Estefania Argente, Pablo Noriega, Vicente J. Botti. Reasoning about norms under uncertainty in dynamic environments
2071 -- 2082Jianmin Ji, Xiaoping Chen. A weighted causal theory for acquiring and utilizing open knowledge
2083 -- 2108Salem Benferhat, Sylvain Lagrue, Julien Rossit. Sum-based weighted belief base merging: From commensurable to incommensurable framework
2109 -- 2125Takéhiko Nakama, Enrique H. Ruspini. Combining dependent evidential bodies that share common knowledge

Volume 55, Issue 8

1623 -- 1642Leonardo Manuel Cabrer, Daniele Mundici. Interval MV-algebras and generalizations
1643 -- 1658Daowu Pei. A survey of fuzzy implication algebras and their axiomatization
1659 -- 1693Kevin McAreavey, Weiru Liu, Paul C. Miller. Computational approaches to finding and measuring inconsistency in arbitrary knowledge bases
1694 -- 1707Renato Pelessoni, Paolo Vicig. The Goodman-Nguyen relation within imprecise probability theory
1708 -- 1727Felipe Aguirre, Sébastien Destercke, D. Dubois, Mohamed Sallak, C. Jacob. Inclusion-exclusion principle for belief functions
1728 -- 1746Daniele Codecasa, Fabio Stella. Learning continuous time Bayesian network classifiers
1747 -- 1763Faiza Titouna, Salem Benferhat. Lukasiewicz-based merging possibilistic networks
1764 -- 1786Dun Liu, Tianrui Li, Junbo Zhang. A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems
1787 -- 1804Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li. Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems
1805 -- 1818Tengfei Zhang, Long Chen, Fumin Ma. A modified rough c-means clustering algorithm based on hybrid imbalanced measure of distance and density

Volume 55, Issue 7

1485 -- 1486Inés Couso, Luciano Sánchez. Harnessing the information contained in low-quality data sources
1487 -- 1501. SMIRE Research Group at the University of Oviedo: A distance-based statistical analysis of fuzzy number-valued data
1502 -- 1518Inés Couso, Didier Dubois. Statistical reasoning with set-valued information: Ontic vs. epistemic views
1519 -- 1534Eyke Hüllermeier. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
1535 -- 1547Thierry Denoeux. Likelihood-based belief function: Justification and some extensions to low-quality data
1548 -- 1569Andrés R. Masegosa, Serafín Moral. Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks
1570 -- 1574Didier Dubois. On various ways of tackling incomplete information in statistics
1575 -- 1577Sébastien Destercke. Comments on "A distance-based statistical analysis of fuzzy number-valued data" by the SMIRE research group
1578 -- 1579Serafín Moral. Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois
1580 -- 1582María Angeles Gil. Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic views"
1583 -- 1587Luciano Sánchez. Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier
1588 -- 1590Sébastien Destercke. Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier
1591 -- 1593Serafín Moral. Comments on "Likelihood-based belief function: Justification and some extensions to low-quality data" by Thierry Denœux
1594 -- 1596Fabio Gagliardi Cozman. Learning imprecise probability models: Conceptual and practical challenges
1597 -- 1600Marco Zaffalon, Giorgio Corani. Comments on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks" by Andrés R. Masegosa and Serafín Moral
1601 -- 1605. Rejoinder on "A distance-based statistical analysis of fuzzy number-valued data"
1606 -- 1608Inés Couso, Didier Dubois. Rejoinder on "Statistical reasoning with set-valued information: Ontic vs. epistemic views"
1609 -- 1613Eyke Hüllermeier. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization"
1614 -- 1617Thierry Denoeux. Rejoinder on "Likelihood-based belief function: Justification and some extensions to low-quality data"
1618 -- 1622Andrés R. Masegosa, Serafín Moral. Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks"

Volume 55, Issue 6

1319 -- 1335Wojciech Froelich, Jose L. Salmeron. Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series
1336 -- 1356Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos. Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine
1357 -- 1368Cenk Ulu, Müjde Güzelkaya, Ibrahim Eksin. Exact analytical inversion of TSK fuzzy systems with singleton and linear consequents
1369 -- 1382Mucong Zheng, Zhongke Shi, Yan Liu. Triple I method of approximate reasoning on Atanassov's intuitionistic fuzzy sets
1383 -- 1403Farnaz Sabahi, Mohammad R. Akbarzadeh-Totonchi. Introducing validity in fuzzy probability for judicial decision-making
1404 -- 1418Caihui Liu, Duoqian Miao, Jin Qian. On multi-granulation covering rough sets
1419 -- 1438Jouni Järvinen, Sándor Radeleczki. Rough sets determined by tolerances
1439 -- 1457Yuefeng Li, Jingtong Wu. Interpretation of association rules in multi-tier structures
1458 -- 1468Tomás Kroupa, Ondrej Majer. Optimal strategic reasoning with McNaughton functions
1469 -- 1484Lenka Halcinová, Ondrej Hutník. An integral with respect to probabilistic-valued decomposable measures

Volume 55, Issue 5

1093 -- 1112Mehena Loudahi, John Klein, Jean-Marc Vannobel, Olivier Colot. New distances between bodies of evidence based on Dempsterian specialization matrices and their consistency with the conjunctive combination rule
1113 -- 1128Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denoeux. Forecasting using belief functions: An application to marketing econometrics
1129 -- 1146Arnaud Roquel, Sylvie Le Hégarat-Mascle, Isabelle Bloch, Bastien Vincke. Decomposition of conflict as a distribution on hypotheses in the framework on belief functions
1147 -- 1163Martha Anne Flinders Lewis, Jonathan Lawry. A label semantics approach to linguistic hedges
1164 -- 1184Jonathan Lawry. Probability, fuzziness and borderline cases
1185 -- 1206Jose M. Peña. Marginal AMP chain graphs
1207 -- 1234Brian Ricks, Ole J. Mengshoel. Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits
1235 -- 1251Luciana Graziela de Godoi, Marcia D'Elia Branco. Bayesian robustness under a skew-normal class of prior distribution
1252 -- 1268Yun Zhou, Norman E. Fenton, Martin Neil. Bayesian network approach to multinomial parameter learning using data and expert judgments
1269 -- 1300Nahla Ben Amor, Hélène Fargier, Wided Guezguez. Possibilistic sequential decision making
1301 -- 1317Jürgen Landes. Min-max decision rules for choice under complete uncertainty: Axiomatic characterizations for preferences over utility intervals

Volume 55, Issue 4

925 -- 0Andrés Cano, Manuel Gómez-Olmedo, Thomas Dyhre Nielsen. Special Issue on PGM-2012
926 -- 939Alain Hauser, Peter Bühlmann. Two optimal strategies for active learning of causal models from interventional data
940 -- 956Helge Langseth, Thomas D. Nielsen, Inmaculada Pérez-Bernabé, Antonio Salmerón. Learning mixtures of truncated basis functions from data
957 -- 976Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas. Qualitative chain graphs and their application
977 -- 988Václav Lín. Decision-theoretic troubleshooting: Hardness of approximation
989 -- 1010Pedro L. López-Cruz, Concha Bielza, Pedro Larrañaga. Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
1011 -- 1021Jose M. Peña. Learning AMP chain graphs and some marginal models thereof under faithfulness
1022 -- 1042Silja Renooij. Co-variation for sensitivity analysis in Bayesian networks: Properties, consequences and alternatives
1043 -- 1071Milan Studený, David Haws. Learning Bayesian network structure: Towards the essential graph by integer linear programming tools
1072 -- 1092Jirí Vomlel, Petr Tichavský. Probabilistic inference with noisy-threshold models based on a CP tensor decomposition

Volume 55, Issue 3

763 -- 786Cat-Ho Nguyen, Van-Nam Huynh, Witold Pedrycz. A construction of sound semantic linguistic scales using 4-tuple representation of term semantics
787 -- 796Guojun Wang, Jingyao Duan. On robustness of the full implication triple I inference method with respect to finer measurements
797 -- 811Haiyu Pan, Yongzhi Cao, Min Zhang 0007, Yixiang Chen. Simulation for lattice-valued doubly labeled transition systems
812 -- 833Pritpal Singh, Bhogeswar Borah. Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
834 -- 852Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang. Set-based granular computing: A lattice model
853 -- 866Weihua Xu, Jinzhong Pang, Shuqun Luo. A novel cognitive system model and approach to transformation of information granules
867 -- 884Wenhao Shu, Hong Shen. Updating attribute reduction in incomplete decision systems with the variation of attribute set
885 -- 895Lankun Guo, Qingguo Li, Mengqiao Huang. A categorical representation of algebraic domains based on variations of rough approximable concepts
896 -- 907Junbo Zhang, Jian-Syuan Wong, Tianrui Li, Yi Pan. A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems
908 -- 923Degang Chen, Wanlu Li, Xiao Zhang, Sam Kwong. Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets

Volume 55, Issue 2

501 -- 528Maria Vanina Martinez, Francesco Parisi, Andrea Pugliese, Gerardo I. Simari, V. S. Subrahmanian. Policy-based inconsistency management in relational databases
529 -- 556Kedian Mu, Kewen Wang, Lian Wen. Approaches to measuring inconsistency for stratified knowledge bases
557 -- 584Xiaowang Zhang, Guohui Xiao, Zuoquan Lin, Jan Van den Bussche. Inconsistency-tolerant reasoning with OWL DL
585 -- 606Leila Amgoud, Srdjan Vesic. Rich preference-based argumentation frameworks
607 -- 638Anthony Hunter. Probabilistic qualification of attack in abstract argumentation
639 -- 653Mohua Banerjee, Didier Dubois. A simple logic for reasoning about incomplete knowledge
654 -- 665Chuanhai Liu, Jun Xie. Probabilistic inference for multiple testing
666 -- 682Fabio Gagliardi Cozman, Cassio Polpo de Campos. Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms
683 -- 688Yan Huang, Congxin Wu. Real-valued Choquet integrals for set-valued mappings
689 -- 710Mohamed Ayman Boujelben, Yves De Smet. A choice model with imprecise ordinal evaluations
711 -- 738Roberto Confalonieri, Henri Prade. Using possibilistic logic for modeling qualitative decision: Answer Set Programming algorithms
739 -- 761Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir. Semantics for possibilistic answer set programs: Uncertain rules versus rules with uncertain conclusions

Volume 55, Issue 1

1 -- 2Ann Nicholson, Fábio Cozman. Preface
3 -- 22Pedro L. López-Cruz, Pedro Larrañaga, Javier DeFelipe, Concha Bielza. Bayesian network modeling of the consensus between experts: An application to neuron classification
23 -- 35Jaime S. Ide, Sheng Zhang, Chiang-shan Ray Li. Bayesian network models in brain functional connectivity analysis
36 -- 58Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk. Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model
59 -- 73Marina Velikova, Josien Terwisscha van Scheltinga, Peter J. F. Lucas, Marc Spaanderman. Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare
74 -- 83Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez. A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination
84 -- 98Steven Mascaro, Ann E. Nicholson, Kevin B. Korb. Anomaly detection in vessel tracks using Bayesian networks
99 -- 100Jingtao Yao, Huaxiong Li, Georg Peters. Decision-theoretic rough sets and beyond
101 -- 115Hong Yu, Zhanguo Liu, Guoyin Wang. An automatic method to determine the number of clusters using decision-theoretic rough set
116 -- 129Fan Li, Mao Ye, Xudong Chen. An extension to Rough c-means clustering based on decision-theoretic Rough Sets model
130 -- 141Tong-Jun Li, Xiao-Ping Yang. An axiomatic characterization of probabilistic rough sets
142 -- 155Nouman Azam, Jingtao Yao. Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
156 -- 166Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang. On an optimization representation of decision-theoretic rough set model
167 -- 179Fan Min, Qinghua Hu, William Zhu. Feature selection with test cost constraint
180 -- 196Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen. Generalized probabilistic approximations of incomplete data
197 -- 210Dun Liu, Tianrui Li, Decui Liang. Incorporating logistic regression to decision-theoretic rough sets for classifications
211 -- 224Bing Zhou. Multi-class decision-theoretic rough sets
225 -- 237Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang. Multigranulation decision-theoretic rough sets
238 -- 258Pawan Lingras, Min Chen, Duoqian Miao. Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations
259 -- 274Ming-Wen Shao, Yee Leung, Wei-Zhi Wu. Rule acquisition and complexity reduction in formal decision contexts
275 -- 276Marie-Hélène Masson, Sébastien Destercke, Benjamin Quost. Editorial
277 -- 293Radim Jirousek, Prakash P. Shenoy. Compositional models in valuation-based systems
294 -- 310Liping Liu. Imaginary numbers for combining linear equation models via Dempster's rule
311 -- 329Alessio Benavoli. Belief function and multivalued mapping robustness in statistical estimation
330 -- 340Chuanhai Liu, Jun Xie. Large scale two sample multinomial inferences and its applications in genome-wide association studies
341 -- 354Nadia Ben Abdallah, Nassima Mouhous Voyneau, Thierry Denoeux. Combining statistical and expert evidence using belief functions: Application to centennial sea level estimation taking into account climate change
355 -- 375Marek Kurdej, Julien Moras, Véronique Cherfaoui, Philippe Bonnifait. Controlling Remanence in Evidential Grids Using Geodata for Dynamic Scene Perception
376 -- 387Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan. Dealing with uncertainty and imprecision in image segmentation using belief function theory
389 -- 390Stefano Aguzzoli, Davide Ciucci, Vincenzo Marra. International Journal of Approximate Reasoning Special Issue on "Rough Sets and Logic"
391 -- 401Matteo Bianchi. A temporal semantics for Nilpotent Minimum logic
402 -- 411Mihir K. Chakraborty. Membership function based rough set
412 -- 426Chris Cornelis, Jesús Medina, Nele Verbiest. Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
427 -- 435Wojciech Dzik, Jouni Järvinen, Michiro Kondo. Representing expansions of bounded distributive lattices with Galois connections in terms of rough sets
436 -- 456Md. Aquil Khan, Mohua Banerjee, Roland Rieke. An update logic for information systems
457 -- 468Tommaso Moraschini. An algebraic study of exactness in partial contexts
469 -- 485Mauricio Restrepo, Chris Cornelis, Jonatan Gómez. Duality, conjugacy and adjointness of approximation operators in covering-based rough sets
486 -- 499Yanhong She. On the rough consistency measures of logic theories and approximate reasoning in rough logic