International Journal of Approximate Reasoning, Volume 55

Volume 55, Number 1, Part 1, January 2014

• 
  Ann Nicholson, Fábio Gagliardi Cozman:
  Preface. 1-2
• 
  Pedro L. López-Cruz, Pedro Larrañaga, Javier DeFelipe, Concha Bielza:
  Bayesian network modeling of the consensus between experts: An application to neuron classification. 3-22
• 
  Jaime S. Ide, Sheng Zhang, Chiang-shan Ray Li:
  Bayesian network models in brain functional connectivity analysis. 23-35
• 
  Marek 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. 36-58
• 
  Marina Velikova, Josien Terwisscha van Scheltinga, Peter J. F. Lucas, Marc Spaanderman:
  Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare. 59-73
• 
  Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez:
  A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination. 74-83
• 
  Steven Mascaro, Ann E. Nicholson, Kevin B. Korb:
  Anomaly detection in vessel tracks using Bayesian networks. 84-98

Volume 55, Number 1, Part 2, January 2014

• 
  Jingtao Yao, Huaxiong Li, Georg Peters:
  Decision-theoretic rough sets and beyond. 99-100
• 
  Hong Yu, Zhanguo Liu, Guoyin Wang:
  An automatic method to determine the number of clusters using decision-theoretic rough set. 101-115
• 
  Fan Li, Mao Ye, Xudong Chen:
  An extension to Rough c-means clustering based on decision-theoretic Rough Sets model. 116-129
• 
  Tong-Jun Li, Xiao-Ping Yang:
  An axiomatic characterization of probabilistic rough sets. 130-141
• 
  Nouman Azam, Jingtao Yao:
  Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets. 142-155
• 
  Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang:
  On an optimization representation of decision-theoretic rough set model. 156-166
• 
  Fan Min, Qinghua Hu, William Zhu:
  Feature selection with test cost constraint. 167-179
• 
  Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen:
  Generalized probabilistic approximations of incomplete data. 180-196
• 
  Dun Liu, Tianrui Li, Decui Liang:
  Incorporating logistic regression to decision-theoretic rough sets for classifications. 197-210
• 
  Bing Zhou:
  Multi-class decision-theoretic rough sets. 211-224
• 
  Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang:
  Multigranulation decision-theoretic rough sets. 225-237
• 
  Pawan Lingras, Min Chen, Duoqian Miao:
  Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations. 238-258
• 
  Ming-Wen Shao, Yee Leung, Wei-Zhi Wu:
  Rule acquisition and complexity reduction in formal decision contexts. 259-274

Volume 55, Number 1, Part 3, January 2014

• 
  Marie-Hélène Masson, Sébastien Destercke, Benjamin Quost:
  Editorial. 275-276
• 
  Radim Jirousek, Prakash P. Shenoy:
  Compositional models in valuation-based systems. 277-293
• 
  Liping Liu:
  Imaginary numbers for combining linear equation models via Dempster's rule. 294-310
• 
  Alessio Benavoli:
  Belief function and multivalued mapping robustness in statistical estimation. 311-329
• 
  Chuanhai Liu, Jun Xie:
  Large scale two sample multinomial inferences and its applications in genome-wide association studies. 330-340
• 
  Nadia 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. 341-354
• 
  Marek Kurdej, Julien Moras, Véronique Cherfaoui, Philippe Bonnifait:
  Controlling Remanence in Evidential Grids Using Geodata for Dynamic Scene Perception. 355-375
• 
  Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan:
  Dealing with uncertainty and imprecision in image segmentation using belief function theory. 376-387

Volume 55, Number 1, Part 4, January 2014

• 
  Stefano Aguzzoli, Davide Ciucci, Vincenzo Marra:
  International Journal of Approximate Reasoning Special Issue on "Rough Sets and Logic". 389-390
• 
  Matteo Bianchi:
  A temporal semantics for Nilpotent Minimum logic. 391-401
• 
  Mihir K. Chakraborty:
  Membership function based rough set. 402-411
• 
  Chris Cornelis, Jesús Medina, Nele Verbiest:
  Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection. 412-426
• 
  Wojciech Dzik, Jouni Järvinen, Michiro Kondo:
  Representing expansions of bounded distributive lattices with Galois connections in terms of rough sets. 427-435
• 
  Md. Aquil Khan, Mohua Banerjee, Roland Rieke:
  An update logic for information systems. 436-456
• 
  Tommaso Moraschini:
  An algebraic study of exactness in partial contexts. 457-468
• 
  Mauricio Restrepo, Chris Cornelis, Jonatan Gómez:
  Duality, conjugacy and adjointness of approximation operators in covering-based rough sets. 469-485
• 
  Yanhong She:
  On the rough consistency measures of logic theories and approximate reasoning in rough logic. 486-499

Volume 55, Number 2, January 2014

Inconsistency

• 
  Maria Vanina Martinez, Francesco Parisi, Andrea Pugliese, Gerardo I. Simari, V. S. Subrahmanian:
  Policy-based inconsistency management in relational databases. 501-528
• 
  Kedian Mu, Kewen Wang, Lian Wen:
  Approaches to measuring inconsistency for stratified knowledge bases. 529-556
• 
  Xiaowang Zhang, Guohui Xiao, Zuoquan Lin, Jan Van den Bussche:
  Inconsistency-tolerant reasoning with OWL DL. 557-584

Argumentation

• 
  Leila Amgoud, Srdjan Vesic:
  Rich preference-based argumentation frameworks. 585-606
• 
  Anthony Hunter:
  Probabilistic qualification of attack in abstract argumentation. 607-638

Belief functions and imprecise probability

• 
  Mohua Banerjee, Didier Dubois:
  A simple logic for reasoning about incomplete knowledge. 639-653
• 
  Chuanhai Liu, Jun Xie:
  Probabilistic inference for multiple testing. 654-665
• 
  Fábio Gagliardi Cozman, Cassio Polpo de Campos:
  Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms. 666-682
• 
  Yan Huang, Congxin Wu:
  Real-valued Choquet integrals for set-valued mappings. 683-688
• 
  Mohamed Ayman Boujelben, Yves De Smet:
  A choice model with imprecise ordinal evaluations. 689-710

Answer-set programming

• 
  Roberto Confalonieri, Henri Prade:
  Using possibilistic logic for modeling qualitative decision: Answer Set Programming algorithms. 711-738
• 
  Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir:
  Semantics for possibilistic answer set programs: Uncertain rules versus rules with uncertain conclusions. 739-761

Volume 55, Number 3, March 2014

Fuzzy sets and systems

• 
  Cat-Ho Nguyen, Van-Nam Huynh, Witold Pedrycz:
  A construction of sound semantic linguistic scales using 4-tuple representation of term semantics. 763-786
• 
  Guojun Wang, Jingyao Duan:
  On robustness of the full implication triple I inference method with respect to finer measurements. 787-796
• 
  Haiyu Pan, Yongzhi Cao, Min Zhang, Yixiang Chen:
  Simulation for lattice-valued doubly labeled transition systems. 797-811
• 
  Pritpal Singh, Bhogeswar Borah:
  Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization. 812-833

Granular computing and rough sets

• 
  Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang:
  Set-based granular computing: A lattice model. 834-852
• 
  Weihua Xu, Jinzhong Pang, Shuqun Luo:
  A novel cognitive system model and approach to transformation of information granules. 853-866
• 
  Wenhao Shu, Hong Shen:
  Updating attribute reduction in incomplete decision systems with the variation of attribute set. 867-884
• 
  Lankun Guo, Qingguo Li, Mengqiao Huang:
  A categorical representation of algebraic domains based on variations of rough approximable concepts. 885-895
• 
  Junbo 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. 896-907
• 
  Degang Chen, Wanlu Li, Xiao Zhang, Sam Kwong:
  Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets. 908-923

Volume 55, Number 4, June 2014

Special issue on the sixth European Workshop on Probabilistic Graphical Models

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

Volume 55, Number 5, July 2014

Belief functions, random sets and related models

• 
  Mehena 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. 1093-1112
• 
  Orakanya Kanjanatarakul, Songsak Sriboonchitta, Thierry Denoeux:
  Forecasting using belief functions: An application to marketing econometrics. 1113-1128
• 
  Arnaud Roquel, Sylvie Le Hégarat-Mascle, Isabelle Bloch, Bastien Vincke:
  Decomposition of conflict as a distribution on hypotheses in the framework on belief functions. 1129-1146
• 
  Martha Anne Flinders Lewis, Jonathan Lawry:
  A label semantics approach to linguistic hedges. 1147-1163
• 
  Jonathan Lawry:
  Probability, fuzziness and borderline cases. 1164-1184

Bayesian reasoning and inference

• 
  José M. Peña:
  Marginal AMP chain graphs. 1185-1206
• 
  Brian Ricks, Ole J. Mengshoel:
  Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits. 1207-1234
• 
  Luciana Graziela de Godoi, Marcia D'Elia Branco:
  Bayesian robustness under a skew-normal class of prior distribution. 1235-1251
• 
  Yun Zhou, Norman E. Fenton, Martin Neil:
  Bayesian network approach to multinomial parameter learning using data and expert judgments. 1252-1268

Decision analysis

• 
  Nahla Ben Amor, Hélène Fargier, Wided Guezguez:
  Possibilistic sequential decision making. 1269-1300
• 
  Jürgen Landes:
  Min-max decision rules for choice under complete uncertainty: Axiomatic characterizations for preferences over utility intervals. 1301-1317

Volume 55, Number 6, September 2014

Fuzzy systems

• 
  Wojciech Froelich, Jose L. Salmeron:
  Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series. 1319-1335
• 
  Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos:
  Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine. 1336-1356
• 
  Cenk Ulu, Müjde Güzelkaya, Ibrahim Eksin:
  Exact analytical inversion of TSK fuzzy systems with singleton and linear consequents. 1357-1368
• 
  Mucong Zheng, Zhongke Shi, Yan Liu:
  Triple I method of approximate reasoning on Atanassov's intuitionistic fuzzy sets. 1369-1382
• 
  Farnaz Sabahi, Mohammad R. Akbarzadeh-Totonchi:
  Introducing validity in fuzzy probability for judicial decision-making. 1383-1403

Rough sets

• 
  Caihui Liu, Duoqian Miao, Jin Qian:
  On multi-granulation covering rough sets. 1404-1418
• 
  Jouni Järvinen, Sándor Radeleczki:
  Rough sets determined by tolerances. 1419-1438
• 
  Yuefeng Li, Jingtong Wu:
  Interpretation of association rules in multi-tier structures. 1439-1457

Game theory

• 
  Tomás Kroupa, Ondrej Majer:
  Optimal strategic reasoning with McNaughton functions. 1458-1468

Probabilistic-valued measures

• 
  Lenka Halcinová, Ondrej Hutník:
  An integral with respect to probabilistic-valued decomposable measures. 1469-1484

Volume 55, Number 7, October 2014

Special issue: Harnessing the information contained in low-quality data sources

• 
  Inés Couso, Luciano Sánchez:
  Harnessing the information contained in low-quality data sources. 1485-1486

Position papers

• 
  SMIRE Research Group at the University of Oviedo: A distance-based statistical analysis of fuzzy number-valued data. 1487-1501
• 
  Inés Couso, Didier Dubois:
  Statistical reasoning with set-valued information: Ontic vs. epistemic views. 1502-1518
• 
  Eyke Hüllermeier:
  Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. 1519-1534
• 
  Thierry Denoeux:
  Likelihood-based belief function: Justification and some extensions to low-quality data. 1535-1547
• 
  Andrés R. Masegosa, Serafín Moral:
  Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks. 1548-1569

Comments

• 
  Didier Dubois:
  On various ways of tackling incomplete information in statistics. 1570-1574
• 
  Sébastien Destercke:
  Comments on "A distance-based statistical analysis of fuzzy number-valued data" by the SMIRE research group. 1575-1577
• 
  Serafín Moral:
  Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois. 1578-1579
• 
  María Angeles Gil:
  Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic views". 1580-1582
• 
  Luciano Sánchez:
  Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier. 1583-1587
• 
  Sébastien Destercke:
  Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier. 1588-1590
• 
  Serafín Moral:
  Comments on "Likelihood-based belief function: Justification and some extensions to low-quality data" by Thierry Denœux. 1591-1593
• 
  Fábio Gagliardi Cozman:
  Learning imprecise probability models: Conceptual and practical challenges. 1594-1596
• 
  Marco 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. 1597-1600

Rejoinders

• 
  Rejoinder on "A distance-based statistical analysis of fuzzy number-valued data". 1601-1605
• 
  Inés Couso, Didier Dubois:
  Rejoinder on "Statistical reasoning with set-valued information: Ontic vs. epistemic views". 1606-1608
• 
  Eyke Hüllermeier:
  Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization". 1609-1613
• 
  Thierry Denoeux:
  Rejoinder on "Likelihood-based belief function: Justification and some extensions to low-quality data". 1614-1617
• 
  Andrés R. Masegosa, Serafín Moral:
  Rejoinder on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks". 1618-1622

Volume 55, Number 8, November 2014

Logic and knowledge base systems

• 
  Leonardo Manuel Cabrer, Daniele Mundici:
  Interval MV-algebras and generalizations. 1623-1642
• 
  Daowu Pei:
  A survey of fuzzy implication algebras and their axiomatization. 1643-1658
• 
  Kevin McAreavey, Weiru Liu, Paul C. Miller:
  Computational approaches to finding and measuring inconsistency in arbitrary knowledge bases. 1659-1693

Imprecise probability and belief functions

• 
  Renato Pelessoni, Paolo Vicig:
  The Goodman-Nguyen relation within imprecise probability theory. 1694-1707
• 
  Felipe Aguirre, Sébastien Destercke, Didier Dubois, Mohamed Sallak, Christelle Jacob:
  Inclusion-exclusion principle for belief functions. 1708-1727

Graphical models

• 
  Daniele Codecasa, Fabio Stella:
  Learning continuous time Bayesian network classifiers. 1728-1746
• 
  Faiza Titouna, Salem Benferhat:
  Lukasiewicz-based merging possibilistic networks. 1747-1763

Rough sets

• 
  Dun Liu, Tianrui Li, Junbo Zhang:
  A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems. 1764-1786
• 
  Xiao Zhang, Changlin Mei, Degang Chen, Jinhai Li:
  Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems. 1787-1804
• 
  Tengfei Zhang, Long Chen, Fumin Ma:
  A modified rough c-means clustering algorithm based on hybrid imbalanced measure of distance and density. 1805-1818

Volume 55, Number 9, December 2014

Weighted Logics for Artificial Intelligence

• 
  Didier Dubois, Lluis Godo, Henri Prade:
  Weighted logics for artificial intelligence - an introductory discussion. 1819-1829
• 
  Nebojsa Ikodinovic, Zoran Ognjanovic, Aleksandar Perovic, Miodrag Raskovic:
  Hierarchies of probabilistic logics. 1830-1842
• 
  Angelina Ilic-Stepic, Zoran Ognjanovic, Nebojsa Ikodinovic:
  Conditional p-adic probability logic. 1843-1865
• 
  Davide Ciucci, Didier Dubois, Jonathan Lawry:
  Borderline vs. unknown: comparing three-valued representations of imperfect information. 1866-1889
• 
  Marco Cerami, Àngel García-Cerdaña, Francesc Esteva:
  On finitely-valued Fuzzy Description Logics. 1890-1916
• 
  Stefan Borgwardt, Rafael Peñaloza:
  Consistency reasoning in lattice-based fuzzy Description Logics. 1917-1938
•