International Journal of Approximate Reasoning

Papers
(The median citation count of International Journal of Approximate Reasoning is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
A new class of decomposition integrals on finite spaces66
A robust support vector regression with exact predictors and fuzzy responses65
One-dimensional game-theoretic differential equations57
Various fuzzy connections and fuzzy concepts in complete co-residuated lattices55
Solving possibilistic games with incomplete information52
Editorial Board51
Change in quantitative bipolar argumentation: Sufficient, necessary, and counterfactual explanations49
Application of tropical optimization for solving multicriteria problems of pairwise comparisons using log-Chebyshev approximation49
Uncertainty and three-way decision in data science46
Morpho-logic from a topos perspective – application to symbolic AI43
Conditional distributivity equation of semi-uninorms over uninorms40
Steps towards causal Formal Concept Analysis39
Editorial Board38
Migrativity properties of uninorms over 2-uninorms38
Editorial Board37
Special Issue on Probabilistic Logic Programming (PLP 2018)37
Spatial unity for the apperception engine36
Editorial Board36
Some thoughts about transfer learning. What role for the source domain?34
Editorial Board33
Improved interval type-2 fuzzy K-means clustering based on adaptive iterative center with new defuzzification method33
Textural dependency and concept lattices32
A compositional approach to probabilistic knowledge compilation30
On bivariate lower semilinear copulas and the star product29
A retrospective on Isaac Levi: June 30, 1930 – December 25, 201829
Integral algebra for simulating dynamical systems with interval uncertainties28
Information algebras in the theory of imprecise probabilities, an extension25
Generalized multiview sequential three-way decisions based on local partition order product space24
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data24
NeST: The neuro-symbolic transpiler24
Attribute reduction method based on fuzzy relational equations and inequalities24
How to describe the spatial near-far relations among concepts?23
ClusterLP: A novel Cluster-aware Link Prediction model in undirected and directed graphs23
Aggregation of random elements over bounded lattices23
Random sets, copulas and related sets of probability measures23
Parameterized maximum-entropy-based three-way approximate attribute reduction23
Dynamic collective argumentation: Constructing the revision and contraction operators23
Notes on integer partitions22
A decomposition-based algorithm for learning the structure of multivariate regression chain graphs22
Alien coding22
Tuning fuzzy SPARQL queries21
Interval-valued kriging for geostatistical mapping with imprecise inputs21
Continuity and additivity properties of information decompositions21
Distributivity characterization of idempotent uni-nullnorms and overlap or grouping functions21
A gradient method for inconsistency reduction of pairwise comparisons matrices20
Shortest-length and coarsest-granularity constructs vs. reducts: An experimental evaluation20
Nonlinear desirability theory19
The interpretability and scalability of linguistic-rule-based systems for solving regression problems19
Preservation of properties of residuated algebraic structure by structures for the partial fuzzy set theory19
Reasoning and learning in the setting of possibility theory - Overview and perspectives19
A generalized model of three-way decision with ranking and reference tuple18
Generalized possibility computation tree logic with frequency and its model checking18
On interval fuzzy implications derived from interval additive generators of interval t-norms18
Being Bayesian about learning Gaussian Bayesian networks from incomplete data18
Constructing overlap functions on bounded posets via multiplicative generators18
Novel optimistic and pessimistic family of OWA operator with constant orness17
Beta-Bézier OWA operator17
On the extended Choquet-Sugeno-like operator17
The dual polyhedron to the chordal graph polytope and the rebuttal of the chordal graph conjecture16
Feature selection and threshold method based on fuzzy joint mutual information16
Adjunctive three-way concepts from positive and negative concepts in lattice-valued formal contexts16
Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies16
A three-way clustering approach using image enhancement operations16
Relevance, recovery and recuperation: A prelude to ring withdrawal16
Incremental attribute reduction with α,β-level intuitionistic fuzzy sets16
A fuzzy content-based group recommender system with dynamic selection of the aggregation functions16
Inversion of Bayesian networks15
Normal cones corresponding to credal sets of lower probabilities15
Formal analysis of Peterson's rules for checking validity of syllogisms with intermediate quantifiers14
Gaussian fuzzy theoretic analysis for variational learning of nested compositions14
A review on declarative approaches for constrained clustering14
An efficient method of renewing object-induced three-way concept lattices involving decreasing attribute-granularity levels14
Using scoring functions in a group decision-making procedure with heterogeneous experts and qualitative assessments14
On permutations dependent operators14
Formalization and implementation of credibility dynamics through prioritized multiple revision14
Sequential multi-class three-way decisions based on cost-sensitive learning14
Structural learning of mixed noisy-OR Bayesian networks13
Description lattices of generalised convex hulls13
Kernel multi-granularity double-quantitative rough set based on ensemble empirical mode decomposition: Application to stock price trends prediction13
Efficient search for relevance explanations using MAP-independence in Bayesian networks13
Aggregation of fuzzy graphs13
An epistemic approach to model uncertainty in data-graphs13
Simple contrapositive assumption-based argumentation frameworks with preferences: Partial orders and collective attacks13
Information algebras in the theory of imprecise probabilities12
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group12
Deep evidential fusion network for medical image classification12
Evidential instance selection for K-nearest neighbor classification of big data12
Construction methods of fuzzy implications on bounded posets12
Cost-sensitive sequential three-way decision for information system with fuzzy decision12
A semi-supervised deep learning image caption model based on Pseudo Label and N-gram12
Graded labellings for abstract argumentation12
Ensuring reference independence and cautious monotony in abstract argumentation12
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis12
Polyadic relational concept analysis12
Spark solutions for discovering fuzzy association rules in Big Data12
Three-way conceptual knowledge updating in incomplete contexts12
Static and dynamic orderings on Dungean argumentation frameworks - An overview12
Attribute reduction for heterogeneous data based on monotonic relative neighborhood granularity11
Attribute granulation in fuzzy formal contexts based on L-fuzzy concepts11
Multi-label feature selection based on adaptive label enhancement and class-imbalance-aware fuzzy information entropy11
Distributivity between uni-nullnorms and Mayor's aggregation operators11
A novel approach to discretizing information systems associated with neighborhood rough sets11
Fuzzy centrality measures in social network analysis: Theory and application in a university department collaboration network11
Context-awareness for information correction and reasoning in evidence theory11
Fisher's disjunction as the principle vindicating p-values, confidence intervals, and their generalizations: A frequentist semantics for possibility theory11
Robust Bayesian causal estimation for causal inference in medical diagnosis11
Inner product reduction for fuzzy formal contexts10
On (O,G)-fuzzy rough sets based on overlap and grouping functions over complete lattices10
Novel AQM analysis approach based on similarity and dissimilarity measures of interval set for multi-expert multi-criterion decision making10
Symbols-Meaning-Value (SMV) space as a basis for a conceptual model of data science10
Valid inferential models for prediction in supervised learning problems10
Attribute reduction based on fusion information entropy10
Case-based prediction – A survey10
Three-way decisions with evaluative linguistic expressions10
Incorporating ignorance within game theory: An imprecise probability approach10
Incremental reduction of imbalanced distributed mixed data based on k-nearest neighbor rough set10
A probabilistic modal logic for context-aware trust based on evidence10
The logic behind desirable sets of things, and its filter representation10
Reduction approaches for fuzzy covering systems10
An exploration of weak Heyting algebras: Characterization and properties9
Editorial Board9
Editorial Board9
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques9
Investigations of T-power based implications satisfying some functional equations related to reasoning schemes9
The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21)9
Coherent conditional previsions with respect to inner and outer Hausdorff measures to represent conscious and unconscious human brain activity9
Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer8
On topologies defined by neighbourhood operators of approximation spaces8
Editorial Board8
An approach to improve argumentation-based epistemic planning with contextual preferences8
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty8
A heuristic concept construction approach to collaborative recommendation8
Dilation properties of coherent Nearly-Linear models8
Editorial Board8
Glenn Shafer — A short biography8
Deciding when to quit the gambler's ruin game with unknown probabilities8
Information structures in a fuzzy set-valued information system based on granular computing8
Editorial Board8
Data-driven modeling with fuzzy sets and manifolds8
Cautious classifier ensembles for set-valued decision-making7
Overlap function-based fuzzy β-covering relations and fuzzy β-covering rough set models7
AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets7
Semi-supervised attribute reduction for partially labeled categorical data based on predicted label7
Editorial Board7
Distribution-free Inferential Models: Achieving finite-sample valid probabilistic inference, with emphasis on quantile regression7
Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology7
Cautious classification based on belief functions theory and imprecise relabelling7
Data complexity: An FCA-based approach7
A new type of dyad fuzzy β-covering rough set models base on fuzzy information system and its practical application7
A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems7
A novel rough set method based on adjustable-perspective dominance relations in intuitionistic fuzzy ordered decision tables7
Belief rule learning and reasoning for classification based on fuzzy belief decision tree6
Coherent and Archimedean choice in general Banach spaces6
Reasoning about knowledge and conditional probability6
Generalized decision directed acyclic graphs for classification tasks6
Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems6
Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory6
A universal approach to imprecise probabilities in possibility theory6
On conditional belief functions in directed graphical models in the Dempster-Shafer theory6
Instance weighting through data imprecisiation6
Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach6
Aggregation and definition of an algebraic framework for fuzzy time series: An application in the supply-demand domain6
Strictly frequentist imprecise probability6
Learning decision catalogues for situated decision making: The case of scoring systems6
A fast neighborhood classifier based on hash bucket with application to medical diagnosis6
Special Issue on Robustness in Probabilistic Graphical Models6
Improvements proposed to noisy-OR derivatives for multi-causal analysis: A case study of simultaneous electromagnetic disturbances6
Goal-hiding information-seeking dialogues: A formal framework6
The extended Recursive Noisy OR model: Static and dynamic considerations6
Chain graph structure learning based on minimal c-separation trees6
The most likely common cause6
Variable radius neighborhood rough sets and attribute reduction6
Adversarial domain adaptation network for tumor image diagnosis6
Robust optimization with belief functions5
Graph neural networks-based preference learning method for object ranking5
Towards an effective practice of learning from data and knowledge5
Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice5
Tensor approximation of cooperative games and their semivalues5
Confidence assessment in safety argument structure - Quantitative vs. qualitative approaches5
Uncertainty quantification in logistic regression using random fuzzy sets and belief functions5
Attribute reduction based on weighted neighborhood constrained fuzzy rough sets induced by grouping functions5
Uncertainty-based knowledge distillation for Bayesian deep neural network compression5
The measurement of relations on belief functions based on the Kantorovich problem and the Wasserstein metric5
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality5
LCM from FCA point of view: A CbO-style algorithm with speed-up features5
Computing crisp bisimulations for fuzzy structures5
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks5
Induction of interval shadowed sets from the perspective of maintaining fuzziness5
Similarity of intuitionistic fuzzy sets and its applications5
The uncertain ordered weighted averaging adequacy coefficient operator5
Multi-label learning based on neighborhood rough set label-specific features5
Multi-label learning via minimax probability machine5
Quantified neural Markov logic networks5
Approximations of system W for inference from strongly and weakly consistent belief bases5
Robust fuzzy clustering of time series based on B-splines5
Sequential merging and construction of rankings as cognitive logic5
Information graphs and their use for Bayesian network graph construction5
Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing5
Three-way concept lattice from adjunctive positive and negative concepts5
A general framework for personalising post hoc explanations through user knowledge integration5
An extension of overlap functions on convolution lattices4
Granular rough sets and granular shadowed sets: Three-way approximations in Pawlak approximation spaces4
Fuzzy rough set attribute reduction based on decision ball model4
Interval type-2 possibilistic fuzzy clustering noisy image segmentation algorithm with adaptive spatial constraints and local feature weighting & clustering weighting4
Extending choice assessments to choice functions: An algorithm for computing the natural extension4
On (I,O)-fuzzy rough sets based on overlap functions4
Information-theoretic partially labeled heterogeneous feature selection based on neighborhood rough sets4
Learning from fuzzy labels: Theoretical issues and algorithmic solutions4
Matrix-Based Approach for Knowledge Structure Construction Using Variable Precision Models4
Sequential 3WD-based local optimal scale selection in dynamic multi-scale decision information systems4
Three-way conflict analysis in dual hesitant fuzzy situation tables4
Multi-attribute three-way decisions based on ideal solutions under interval-valued intuitionistic fuzzy environment4
A novel information fusion method using improved entropy measure in multi-source incomplete interval-valued datasets4
Conflict analysis based on three-way decision for triangular fuzzy information systems4
An answer set programming-based implementation of epistemic probabilistic event calculus4
Multi-attribute group three-way decision making with degree-based linguistic term sets4
Distributivity of N-ordinal sum fuzzy implications over t-norms and t-conorms4
Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping4
Achieving threshold consistency in three-way group decision using optimization methodology and expert-weight-updating-strategy4
Processing distortion models: A comparative study4
Decision with belief functions and generalized independence: Two impossibility theorems4
Optimal scale selection and knowledge discovery in generalized multi-scale decision tables4
Semantic explorations in factorizing Boolean data via formal concepts4
Selective label enhancement for multi-label classification based on three-way decisions4
Minimality, necessity and sufficiency for argumentation and explanation4
Pointwise mutual information sparsely embedded feature selection4
Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning4
Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets4
An inferential model-based method for testing homogeneity of several variances against tree-ordered alternatives4
On computing probabilistic abductive explanations4
Neighborhood relation-based variable precision multigranulation Pythagorean fuzzy rough set approach for multi-attribute group decision making4
Rule acquisition in generalized multi-scale information systems with multi-scale decisions4
Multi-label feature selection based on fuzzy rough sets with metric learning and label enhancement4
Optimal scale selection based on multi-scale single-valued neutrosophic decision-theoretic rough set with cost-sensitivity4
From undecidability of non-triviality and finiteness to undecidability of learnability3
Editorial Board3
Inner and outer characterization of the projection of polynomial equations using symmetries, quotients and intervals3
On the distributivity of fuzzy implications and the weighted S-implications3
A study of rough inclusion on algebras with quasi-Boolean base3
Special Issue on Concept Lattices and their Applications (CLA 2020)3
An empirically supported approach to the treatment of imprecision in vague reasoning3
Approximating counterfactual bounds while fusing observational, biased and randomised data sources3
Editorial Board3
Special issue on Knowledge Enhanced Data Analytics for Autonomous Decision Making (KEDA for DM)3
Editorial Board3
Uncertainty propagation in stereo matching using copulas3
Factorizing lattices by interval relations3
Toward credible belief base revision3
Evaluating the effects of uncertainty in interval pairwise comparison matrices3
Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications3
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