International Journal of Approximate Reasoning

Papers
(The TQCC of International Journal of Approximate Reasoning is 6. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Continuity and additivity properties of information decompositions75
A decomposition-based algorithm for learning the structure of multivariate regression chain graphs67
Preservation of properties of residuated algebraic structure by structures for the partial fuzzy set theory58
How to describe the spatial near-far relations among concepts?55
Tuning fuzzy SPARQL queries53
Attribute reduction method based on fuzzy relational equations and inequalities51
Being Bayesian about learning Gaussian Bayesian networks from incomplete data50
Distributed fusion-based algorithms for learning high-dimensional Bayesian Networks: Testing ring and star topologies46
Nonlinear desirability theory45
Fuzzy time series analysis: Expanding the scope with fuzzy numbers40
Cost-sensitive sequential three-way decision for information system with fuzzy decision40
Deep evidential fusion network for medical image classification39
Parameterized maximum-entropy-based three-way approximate attribute reduction39
Attribute reduction based on fusion information entropy39
A fuzzy content-based group recommender system with dynamic selection of the aggregation functions39
Morpho-logic from a topos perspective – application to symbolic AI38
One-dimensional game-theoretic differential equations36
Interval-valued kriging for geostatistical mapping with imprecise inputs35
A gradient method for inconsistency reduction of pairwise comparisons matrices34
Attribute reduction for heterogeneous data based on monotonic relative neighborhood granularity34
Cautious classifier ensembles for set-valued decision-making33
Quantified neural Markov logic networks29
Generalized decision directed acyclic graphs for classification tasks28
Induction of interval shadowed sets from the perspective of maintaining fuzziness28
Learning decision catalogues for situated decision making: The case of scoring systems27
Chain graph structure learning based on minimal c-separation trees26
Belief rule learning and reasoning for classification based on fuzzy belief decision tree26
Three-way concept lattice from adjunctive positive and negative concepts26
An exploration of weak Heyting algebras: Characterization and properties26
Granular rough sets and granular shadowed sets: Three-way approximations in Pawlak approximation spaces25
Data complexity: An FCA-based approach25
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques25
Three-way decisions with evaluative linguistic expressions25
Symbols-Meaning-Value (SMV) space as a basis for a conceptual model of data science25
Multi-label feature selection based on fuzzy rough sets with metric learning and label enhancement24
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty24
Multi-attribute three-way decisions based on ideal solutions under interval-valued intuitionistic fuzzy environment24
The uncertain ordered weighted averaging adequacy coefficient operator24
Rule acquisition in generalized multi-scale information systems with multi-scale decisions23
Decision with belief functions and generalized independence: Two impossibility theorems22
Hierarchical variable clustering based on the predictive strength between random vectors21
Qualitative capacities: Basic notions and potential applications21
Argument strength in probabilistic argumentation based on defeasible rules21
Uncertainty propagation in stereo matching using copulas21
Rough sets, modal logic and approximate reasoning20
On computing probabilistic abductive explanations20
Inner and outer characterization of the projection of polynomial equations using symmetries, quotients and intervals20
A bipolar three-way decision model and its application in analyzing incomplete data20
Editorial Board20
Achieving threshold consistency in three-way group decision using optimization methodology and expert-weight-updating-strategy20
Nonlinear desirability as a linear classification problem20
Editorial Board19
A three-way decision approach for dynamically expandable networks19
Editorial Board19
Editorial Board18
Editorial Board18
An inferential model-based method for testing homogeneity of several variances against tree-ordered alternatives18
Adding imprecision to hypotheses: A Bayesian framework for testing practical significance in nonparametric settings18
A probabilistic analysis of selected notions of iterated conditioning under coherence18
Editorial Board17
On the failings of Shapley values for explainability17
Multigranulation fuzzy probabilistic rough set model on two universes17
Processing distortion models: A comparative study17
On the classification of financial data with domain agnostic features17
On the derivation of weights from incomplete pairwise comparisons matrices via spanning trees with crisp and fuzzy confidence levels17
Special issue on Reasoning under Partial Knowledge16
New results of (U,N)-implications satisfying I(r,I(s,t))=I(I(r,s),I(r,t))16
Editorial Board16
N-vertical generated implications and their distributivities over t-norms and t-conorms16
Corrigendum to “GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy” [Int. J. Approx. Reason. 143 (2022) 78–101]15
Neighborhood margin rough set: Self-tuning neighborhood threshold15
Attributes reduction algorithms for m-polar fuzzy relation decision systems15
Computing with confidence15
Interval-dismantling for lattices15
On the distributivity for the ordinal sums of implications over t-norms and t-conorms15
Learning Horn envelopes via queries from language models15
Consequences of the minimum specificity principle on conditioning and on independence in possibility theory15
Interval -Sheffer strokes and interval fuzzy Sheffer strokes endowed with admissible orders14
ω-IvE methodology: Admissible interleaving entropy methods applied to video streaming traffic classification14
The Language of Contextual Attribute Logics Introduction and Survey14
Verified propagation of imprecise probabilities in non-linear ODEs14
Identifying arguments within a text: Categorizing errors and their impact in arguments' relation prediction14
A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation13
On the logic of theory change iteration of KM-update13
Multidimensional fuzzy sets: Negations and an algorithm for multi-attribute group decision making13
A novel granular computing model based on three-way decision13
Pairwise comparison matrices with uniformly ordered efficient vectors13
Triple perturbed consistent matrix and the efficiency of its principal right eigenvector13
Projectivity and unification in substructural logics of generalized rotations13
Powerset operators induced by fuzzy relations as a basis for fuzzification of various mathematical structures13
On the enumeration of non-dominated matroids with imprecise weights13
An updated method of granular reduct based on cognitive operators in formal contexts12
Stochastically ordered aggregation operators12
Entropy for evaluation of Dempster-Shafer belief function models12
Hierarchical sequential three-way decision model12
Efficient vectors for simple perturbed consistent matrices12
A dissection of the monotonicity property of binary operations from a dominance point of view12
Fuzzy rough unlearning model for feature selection12
Residuated implications derived from quasi-overlap functions on lattices12
An improved three-way decision model based on prospect theory12
Fuzzy object-induced network three-way concept lattice and its attribute reduction12
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization12
On residual implications derived from 2-uninorms12
Fast semi-supervised evidential clustering12
Multiindistinguishability operators11
Three-way recommendation model based on shadowed set with uncertainty invariance11
Measuring effectiveness of movement-based three-way decision using fuzzy Markov model11
Granular fuzzy sets and three-way approximations of fuzzy sets11
Characterizations for union and intersection on non-normal membership functions of type-2 fuzzy sets11
Incremental cognitive learning approach based on concept reduction11
Editorial Board10
Multi-dimensional Bayesian network classifiers for partial label ranking10
Fast and robust clustering of general-shaped structures with tk-merge10
Dynamic collective argumentation: Constructing the revision and contraction operators10
Nature of decision valuations in elimination of redundant attributes10
Online event recognition over noisy data streams10
Contribution functions for quantitative bipolar argumentation graphs: A principle-based analysis10
Physics-informed learning under epistemic uncertainty with an application to system health modeling10
Outlier detection in mixed-attribute data: A semi-supervised approach with fuzzy approximations and relative entropy10
Fuzzy implications-based transformation approaches from semi-three-way decision spaces to three-way decision spaces and their applications10
Inversion of Bayesian networks9
Evidential time-to-event prediction with calibrated uncertainty quantification9
A retrospective on Isaac Levi: June 30, 1930 – December 25, 20189
Conditional distributivity equation of semi-uninorms over uninorms9
Attribute granulation in fuzzy formal contexts based on L-fuzzy concepts9
A three-way clustering approach using image enhancement operations9
Distributivity between uni-nullnorms and Mayor's aggregation operators9
Normal cones corresponding to credal sets of lower probabilities9
Migrativity properties of uninorms over 2-uninorms9
Case-based prediction – A survey8
Multi-label feature selection based on adaptive label enhancement and class-imbalance-aware fuzzy information entropy8
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality8
Editorial Board8
Novel optimistic and pessimistic family of OWA operator with constant orness8
The extended Recursive Noisy OR model: Static and dynamic considerations8
The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21)8
Random sets, copulas and related sets of probability measures8
ClusterLP: A novel Cluster-aware Link Prediction model in undirected and directed graphs8
Attribute reduction based on weighted neighborhood constrained fuzzy rough sets induced by grouping functions8
A universal approach to imprecise probabilities in possibility theory7
On topologies defined by neighbourhood operators of approximation spaces7
An answer set programming-based implementation of epistemic probabilistic event calculus7
Editorial Board7
Choquet-based fuzzy rough sets7
Multi-label learning via minimax probability machine7
Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping7
Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing7
Explaining answers generated by knowledge graph embeddings7
Independent natural extension for choice functions7
Estimating the coverage measure and the area explored by a line-sweep sensor on the plane7
LCM from FCA point of view: A CbO-style algorithm with speed-up features7
Coherent conditional previsions with respect to inner and outer Hausdorff measures to represent conscious and unconscious human brain activity7
An extension of overlap functions on convolution lattices7
Further studies on abstract rough inclusion properties7
Learning and total evidence with imprecise probabilities7
Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice7
A test to compare interval time series6
Editorial of the special issue “Synergies Between Machine Learning and Reasoning”6
A Survey on Causal Discovery: Theory and Practice6
New results on convergence in distribution of fuzzy random variables6
Editorial Board6
Existence of optimal strategies in bimatrix game and applications6
Neighborhood relation-based variable precision multigranulation Pythagorean fuzzy rough set approach for multi-attribute group decision making6
Topological reduction approaches for relation decision systems6
Dynamic panel fuzzy time series model and its application to econometric time series6
Evaluating the effects of uncertainty in interval pairwise comparison matrices6
Coherence and avoidance of sure loss for standardized functions and semicopulas6
A robust multi-label feature selection based on label significance and fuzzy entropy6
Reductions of concept lattices based on Boolean formal contexts6
The possibilistic horn non-clausal knowledge bases6
Editorial Board6
A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification6
Update of optimal scale in dynamic multi-scale decision information systems6
Rough set-based feature selection for weakly labeled data6
On the distributivity of fuzzy implications and the weighted S-implications6
Multigranular rough set model based on robust intuitionistic fuzzy covering with application to feature selection6
An auto-weighted enhanced horizontal collaborative fuzzy clustering algorithm with knowledge adaption mechanism6
Ergodic theorems for dynamic imprecise probability kinematics6
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering6
Editorial Board6
Editorial Board6
Three-way approximation of decision granules based on the rough set approach6
Learning Bayesian networks from incomplete data with the node-average likelihood6
Attribute reduction with fuzzy divergence-based weighted neighborhood rough sets6
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