yusuke1997/dblp-id-title huggingface dataset:
Analyzing real-world SPARQL queries and ontology-based data access in the context of probabilistic data
Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation
Complexity of fuzzy answer set programming under Łukasiewicz semantics
A review and proposal of (fuzzy) clustering for nonlinearly separable data
A parametric representation of linguistic hedges in Zadeh's fuzzy logic
Information algebras in the theory of imprecise probabilities, an extension
Steps towards causal Formal Concept Analysis
An integral with respect to probabilistic-valued decomposable measures
New results of (U,N)-implications satisfying I(r,I(s,t))=I(I(r,s),I(r,t))
Probabilistic spatio-temporal knowledge bases: Capacity constraints, count queries, and consistency checking
Summarizing and propagating uncertain information with triangular norms
Constructing and evaluating alternative frames of discernment
Probability envelopes and their Dempster-Shafer approximations in statistical matching
Improved linear programming methods for checking avoiding sure loss
Spatial reasoning under imprecision using fuzzy set theory, formal logics and mathematical morphology
Belief functions and belief maintenance in artificial intelligence
Belief functions on real numbers
Decision-making with belief functions: A review
Subsampling tests of parameter hypotheses and overidentifying restrictions with possible failure of identification
FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
Cost-sensitive sequential three-way decision for information system with fuzzy decision
Rough approximations based on bisimulations
Merging the local and global approaches to probabilistic satisfiability
Dynamic importance sampling in Bayesian networks based on probability trees
On fuzzy probabilities and interactive fuzzy variables
Robust support function machines for set-valued data classification
Robust moving object detection based on fusing Atanassov's Intuitionistic 3D Fuzzy Histon Roughness Index and texture features
Ordering arc-reversal operations when eliminating variables in lazy AR propagation
Generalized possibility computation tree logic with frequency and its model checking
Fuzzy refutations for probability and multivalued logics
Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions
An uncertainty interchange format with imprecise probabilities
Combination of partially non-distinct beliefs: The cautious-adaptive rule
Approximate reasoning and conflict resolution
Classificatory filtering in decision systems
Data compression with homomorphism in covering information systems
Generalized rough approximations in PI 1/2
A variable and a fixed ordering of intervals and their application in optimization with interval-valued functions
Using inconsistency measures for estimating reliability
Exact inversion of decomposable interval type-2 fuzzy logic systems
Conflict management in Dempster-Shafer theory using the degree of falsity
Hidden patterns in combined and adaptive knowledge networks
Variable-precision dominance-based rough set approach and attribute reduction
Attribute combination reduction in formal concept analysis: A theoretical characterization
A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems
Axiomatization of covering-based approximation operators generated by general or irreducible coverings
Conditioning, updating and lower probability zero
L-valued covering-based rough sets and corresponding decision-making applications
Models for pessimistic or optimistic decisions under different uncertain scenarios
Financial markets analysis by using a probabilistic fuzzy modelling approach
Independent natural extension for choice functions
An unusual property of a square matrix of fuzzy sets
Mixtures of probabilistic logic programs
Predicting graphical models based on functional data
Fuzzy relational neural network
Function approximation using non-normalized SISO fuzzy systems
Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules
On approximation of lattice-valued functions using lattice integral transforms
Training the fuzzy integral
Measuring and repairing inconsistency in probabilistic knowledge bases
A particular upper expectation as global belief model for discrete-time finite-state uncertain processes
Distributional logic programming for Bayesian knowledge representation
Hierarchical and conditional combination of belief functions induced by visual tracking
A parallel algorithm for building possibilistic causal networks
A recurrence local computation approach towards ordering composite beliefs in bayesian belief networks
Entropy and co-entropy of a covering approximation space
Discrete pseudo-integrals
Decision bireducts and decision reducts - a comparison
Rejoinder on "Likelihood-based belief function: Justification and some extensions to low-quality data"
Investigations of T -power based implications satisfying some functional equations related to reasoning schemes
Confluence and convergence modulo equivalence in probabilistically terminating reduction systems
Unsupervised construction of fuzzy measures through self-organizing feature maps and its application in color image segmentation
Fuzzy adaptive search method for parallel genetic algorithm with island combination process
Three-way conceptual knowledge updating in incomplete contexts
Notes on conditional previsions
Superior scoring rules for probabilistic evaluation of single-label multi-class classification tasks
On the classification of financial data with domain agnostic features
Neighborhood based decision-theoretic rough set models
The context model: An integrating view of vagueness and uncertainty
The validity of Dempster-Shafer belief functions
Three-way conflict analysis: Issue reduct based on incomplete fuzzy value information
An interval set model for learning rules from incomplete information table
Foundations of probabilistic inference with uncertain evidence
Lattices defined by multigranular rough sets
Scaling-invariant maximum margin preference learning
A frequency model in a fuzzy environment
Qualitative chain graphs and their application
Sensitivity analysis beyond linearity
Approximation of incoherent probabilities
Attribute implications in L-concept analysis with positive and negative attributes: Validity and properties of models
Interactive preference elicitation under noisy preference models: An efficient non-Bayesian approach
Probabilistic satisfiability and coherence checking through integer programming
Decision trees as possibilistic classifiers
Robust fuzzy clustering of multivariate time trajectories
A possible worlds semantics for trustworthy non-deterministic computations
A general framework for personalising post hoc explanations through user knowledge integration
Special journal issue on Uncertainty, Heterogeneity, Reliability and Explainability in AI
A generalization of the fundamental theorem of de Finetti for imprecise conditional probability assessments
Consistency degrees of theories and methods of graded reasoning in n -valued R 0 -logic (NM-logic)
On Fast arc-reversal
On measuring the specificity of IF-THEN rules
The choice of generalized Dempster-Shafer rules for aggregating belief functions
Distribution of expected utility in decision trees
A copula-based uncertainty propagation method for structures with correlated parametric p-boxes
Field testing the STRATASSIST prototype
Conditioning and updating evidence
Aggregation functions on n -dimensional ordered vectors equipped with an admissible order and an application in multi-criteria group decision-making
Goal programming models for obtaining the priority vector of incomplete fuzzy preference relation
Effective and efficient structure learning with pruning and model averaging strategies
The role of calculi in uncertain reasoning
Chain graph interpretations and their relations revisited
Inconsistency of special cases of pairwise comparisons matrices
Do we need higher-order probabilities, and, if so, what do they mean?
Incremental construction and evaluation of defeasible probabilistic models
New methods for small area estimation with linkage uncertainty
Robust weighted fuzzy margin-based feature selection with three-way decision
Indian Buffet Process dictionary learning: Algorithms and applications to image processing
On bivariate lower semilinear copulas and the star product
Approximate classification with web ontologies through evidential terminological trees and forests
Multidimensional fuzzy sets: Negations and an algorithm for multi-attribute group decision making
Double-quantitative variable consistency dominance-based rough set approach
Multi-label learning based on neighborhood rough set label-specific features
Estimating sample mean under interval uncertainty and constraint on sample variance
A general bi-clustering algorithm for object data with an application to the analysis of a Lombardy railway line
Bayesian network modeling of the consensus between experts: An application to neuron classification
Using interval information granules to improve forecasting in fuzzy time series
Representing expansions of bounded distributive lattices with Galois connections in terms of rough sets
Measures of uncertainty for imprecise probabilities: An axiomatic approach
Semantic inconsistency measures using 3-valued logics
Probability, fuzziness and borderline cases
Time-critical interactive dynamic influence diagram
Understanding evidential reasoning
Proposition and learning of some belief function contextual correction mechanisms
Fuzzy sets approach to the design of engineering systems
A comparative study of possibilistic conditional independence and lack of interaction
Learning Horn envelopes via queries from language models
Interval R -Sheffer strokes and interval fuzzy Sheffer strokes endowed with admissible orders
Avoiding triviality: Fuzzy implications and conditional events
Multi-class decision-theoretic rough sets
Convergent deduction for probabilistic logic
Active Hebbian learning algorithm to train fuzzy cognitive maps
Fuzzy transform in the analysis of data
Heuristic reasoning about uncertainty: An artificial intelligence approach : Paul R. Cohen, Pitman, Boston and London, 1985
Resolution principles in possibilistic logic
A combination of exact algorithms for inference on Bayesian belief networks
Ambiguous games without a state space and full rationality
Updating credal networks is approximable in polynomial time
Morpho-logic from a topos perspective - application to symbolic AI
Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks
A fuzzy approach to R&D project portfolio selection
Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
Adaptation of cross-direction basis-weight control in paper machines using fuzzy decision logic
Value-based argumentation framework built from prioritized qualitative choice logic
Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses
On the distributivity for the ordinal sums of implications over t-norms and t-conorms
A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models
Learning Bayesian network parameters under order constraints
Corrigendum to "Dynamic intuitionistic fuzzy multi-attribute decision making" [Int. J. Approx. Reasoning 48 (2008) 246-262]
A hybrid method based on F -transform for robust estimators
Fuzzy extensions of OWL: Logical properties and reduction to fuzzy description logics
Efficient approximation of probability distributions with k-order decomposable models
Adversarial domain adaptation network for tumor image diagnosis
On the RAGE aggregation method with applications to neural networks and decision making
Label distribution feature selection for multi-label classification with rough set
Monte Carlo and quasi-Monte Carlo methods for Dempster's rule of combination
Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction
Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction
An algorithm directly finding the K most probable configurations in Bayesian networks
Talking probabilities: communicating probabilistic information with words and numbers
Dependence space models to construct concept lattices
A generalization of Yager's f-generated implications
Bi-directional adaptive neighborhood rough sets based attribute subset selection
Inference in qualitative probabilistic networks revisited
Generalized three-way decision models based on subset evaluation
An approach to improve argumentation-based epistemic planning with contextual preferences
Uncertainty and three-way decision in data science
Editorial: Uncertainty in Artificial Intelligence and Databases
Choosing the center of star-shaped set-valued data compatible with measure-preserving arithmetic
Logical coherence in Bayesian simultaneous three-way hypothesis tests
Efficient clustering of large uncertain graphs using neighborhood information
Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems
Comparative analysis of logic operators: A perspective of statistical testing and granular computing
Generalized matroids based on three-way decision models
Bivariate quadratic copula constructions
Special Track on Uncertain Reasoning of the 19th International Florida Artificial Intelligence Research Symposium (FLAIRS 2006)
A Survey on Causal Discovery: Theory and Practice
Elkan's theoretical argument, reconsidered
Weak Dutch Books with imprecise previsions
A PGM framework for recursive modeling of players in simple sequential Bayesian games
Deep kernel dimensionality reduction for scalable data integration
Polyadic relational concept analysis
Implementing evidential reasoning in expert systems
The extreme points of the set of belief measures
Exchangeability and sets of desirable gambles
Using T-norm-based uncertainty calculi in a naval situation assessment application
Choosing uncertainty representations in artificial intelligence
Large scale two sample multinomial inferences and its applications in genome-wide association studies
The likelihood interpretation as the foundation of fuzzy set theory
Protein secondary structure prediction using distance based classifiers
Modeling time-varying uncertain situations using Dynamic Influence Nets
A model for CAGD using fuzzy logic
State morphism MV-algebras
Learning mixtures of truncated basis functions from data
Fuzzy β -covering approximation spaces
Stable structure learning with HC-Stable and Tabu-Stable algorithms
Multiindistinguishability operators
How artificial intelligence leads to knowledge why: An inquiry inspired by Aristotle's Posterior Analytics
Pluralistic evaluation of belief plausibility and its application to nonmonotonic reasoning
Classifying and completing word analogies by machine learning
Design and rule base reduction of a fuzzy filter for the estimation of motor currents
Learning to compose fuzzy behaviors for autonomous agents
A method for updating that justifies minimum cross entropy
A formal framework for description logics with uncertainty
A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction
A three-way selective ensemble model for multi-label classification
Probabilistic rough set over two universes and rough entropy
A robust support vector regression with exact predictors and fuzzy responses
Should data ever be thrown away? Pooling interval-censored data sets with different precision
Complexity results for enhanced qualitative probabilistic networks
An equivalent characterization for admissible orders on n-dimensional intervals generated by matrices
Change in quantitative bipolar argumentation: Sufficient, necessary, and counterfactual explanations
Ordinal sums of the main classes of fuzzy negations and the natural negations of t-norms, t-conorms and fuzzy implications
Bayesian prediction for artificial intelligence
On-line alert systems for production plants: A conflict based approach
Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data
On the possibility theory-based semantics for logics of preference
Rough representation of a region of interest in medical images
Information graphs and their use for Bayesian network graph construction
Evidential reasoning in image understanding
Approximations between fuzzy expert systems and neural networks
Decomposition integrals
A formal study of a rough set model integrating relational and neighbourhood system approaches
Practical issues in constructing a Bayes belief network
A geometric view on learning Bayesian network structures
LSP method and its use for evaluation of Java IDEs
New definitions of mean value and variance of fuzzy numbers: An application to the pricing of life insurance policies and real options
An algebraic study of exactness in partial contexts
The structure analysis of fuzzy sets
Using expert knowledge in solving the seismic inverse problem
Projective families of distributions revisited
Non-adaptability measures in the pseudo-questionnaires context
Conditional independence in valuation-based systems
A fuzzy-set approach to treat determinacy and consistency of linguistic terms in multi-criteria decision making
Finite approximations to coherent choice
Coherent updating of non-additive measures
Sensory evaluation based on linguistic decision analysis
Lymphoma segmentation from 3D PET-CT images using a deep evidential network
An analysis of Ruspini partitions in Gödel logic
ω A -IvE methodology: Admissible interleaving entropy methods applied to video streaming traffic classification
Characteristic imsets for learning Bayesian network structure
On the equivalence between logic programming semantics and argumentation semantics
Comments on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks" by Andrés R. Masegosa and Serafín Moral
Structuring causal tree models with continuous variables
New distributions for modeling subjective lower and upper probabilities
Hierarchical classification based on coarse- to fine-grained knowledge transfer
Rejoinder on "Statistical reasoning with set-valued information: Ontic vs. epistemic views"
Decision tree induction systems: A Bayesian analysis
Random sets, copulas and related sets of probability measures
Efficient probabilistic inference in Bayesian networks with multi-valued NIN-AND tree local models
Adversarial classification: An adversarial risk analysis approach
Monotonicity-based consensus states for the monometric rationalisation of ranking rules and how they are affected by ties
Analogical proportions: From equality to inequality
The GST load balancing algorithm for parallel and distributed systems
Learning Bayesian network parameters from small data sets: application of Noisy-OR gates
A rough logic based on incomplete information and its application
An algebraic theory for statistical information based on the theory of hints
The expected value models on Sugeno measure space
Logical aspects of learning concepts
Towards a probability theory for product logic: States, integral representation and reasoning
Consonant approximations of belief functions
Approximate reasoning and prototypical knowledge
Quantitative three-way class-specific attribute reducts based on region preservations
Interpretation of approximate numerical expressions: Computational model and empirical study
Generalized conjunction and disjunction of two conditional events in the setting of conditional random quantities
Comparison of neural models for document clustering
Semi-supervised attribute reduction for partially labeled categorical data based on predicted label
Non-stationary data segmentation with hidden evidential semi-Markov chains
Attribute reduction based on weighted neighborhood constrained fuzzy rough sets induced by grouping functions
Modal logic interpretation of Dempster-Shafer theory: An infinite case
Learning undirected graphical models from multiple datasets with the generalized non-rejection rate
Face pixel detection using evidential calibration and fusion
On dynamics of cautious belief and conditional objects
Graded labellings for abstract argumentation
Structural learning of mixed noisy-OR Bayesian networks
Non-parametric learning of lifted Restricted Boltzmann Machines
Distributivity between uni-nullnorms and Mayor's aggregation operators
Soft clustering - Fuzzy and rough approaches and their extensions and derivatives
Axiomatic systems for rough sets and fuzzy rough sets
Generalized Lebesgue integral
Utilizing belief functions for the estimation of future climate change
Probabilistic programming with stochastic variational message passing
Explaining answers generated by knowledge graph embeddings
The structure theorem of three-way concept lattice
Response to Shafer's comments
Formalizing argumentative reasoning in a possibilistic logic programming setting with fuzzy unification
Belief function independence: I. The marginal case
Two generalizations of the semi-graphoid rule of probabilistic independence and more
Limited approximate bisimulations and the corresponding rough approximations
Soft computing for the posterior of a matrix t graphical network
Special Issue on the Eleventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2011)
A Bayesian hierarchical score for structure learning from related data sets
Characterizing joint distributions of random sets by multivariate capacities
Arranging program statements for locality on the basis of neighbourhood preferences
Multisensor triplet Markov chains and theory of evidence
Chain graphs structure learning given local background knowledge
A novel incremental attribute reduction approach for dynamic incomplete decision systems
A message from the editor
Comments on shafer's "perspectives on the theory and practice of belief functions"
Hierarchical models as marginals of hierarchical models
Quantile-based fuzzy C -means clustering of multivariate time series: Robust techniques
Constructions of overlap functions on bounded lattices
Asymmetric dependence in the stochastic frontier model using skew normal copula
Possibility distributions: A unified representation of usual direct-probability-based parameter estimation methods
Basic operations for fuzzy multisets
Inconsistency as qualified truth: A probability logic approach
Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors
On the enumeration of non-dominated matroids with imprecise weights
PRISM revisited: Declarative implementation of a probabilistic programming language using multi-prompt delimited control
Integrating gene expression profiling and clinical data
Variance based three-way clustering approaches for handling overlapping clustering
A new fuzzy based algorithm for solving stereo vagueness in detecting and tracking people
Interval-valued kriging for geostatistical mapping with imprecise inputs
Bipolarity in argumentation graphs: Towards a better understanding
Comparative study of variable precision rough set model and graded rough set model
Credal networks under epistemic irrelevance: The sets of desirable gambles approach
Extraction of similarity based fuzzy rules from artificial neural networks
A methodology for computing with words
Reductions of a covering approximation space from algebraic points of view
Dependence-space-based attribute reductions in inconsistent decision information systems
D number theory based game-theoretic framework in adversarial decision making under a fuzzy environment
Logic-based argumentation with existential rules
Coupling an MV-algebra with a Boolean algebra
The role of tuning uncertain inference systems
Finitely maxitive T-conditional possibility theory: Coherence and extension
A granular neural network: Performance analysis and application to re-granulation