yusuke1997/dblp-id-title huggingface dataset:
On scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing algorithm
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty
Guest editor's preface
Credibility via imprecise probability
A new neuro-fuzzy identification model of nonlinear dynamic systems
First-order under-approximations of consistent query answers
Logics for belief functions on MV-algebras
Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems
On fuzzy implications: An axiomatic approach
On an optimization representation of decision-theoretic rough set model
A fuzzy approach to aggregating military assessments
Triangular fuzzy decision-theoretic rough sets
Analogy-based classifiers for nominal or numerical data
Linguistically oriented fuzzy logic control and its design
Numerical treatment of Bayesian robustness problems
Exploiting independencies to compute semigraphoid and graphoid structures
Improving fuzzy systems identification with data transformations
Coimplications derived from pseudo-uninorms on a complete lattice
A neural system for deforestation monitoring on Landsat images of the Amazon Region
All roads lead to Rome - New search methods for the optimal triangulation problem
Cost-sensitive active learning with a label uniform distribution model
Bayesianize fuzziness in the statistical analysis of fuzzy data
Preface Algebraic models and MV-algebras for fuzzy reasoning
Existence, uniqueness, calculus and properties of triangular approximations of fuzzy numbers under a general condition
A distance-based framework for inconsistency-tolerant reasoning and inconsistency measurement in DL-Lite
Non-standard probability, coherence and conditional probability on many-valued events
Quantum indistinguishability through exchangeability
Accelerator for supervised neighborhood based attribute reduction
A decision theory for partially consonant belief functions
Games of incomplete information: A framework based on belief functions
Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
Dealing with external actions in belief causal networks
Computational method for fuzzy arithmetic operations on triangular fuzzy numbers by extension principle
On the soundness of altering granular information
Classical iterative proportional scaling of log-linear models with rational maximum likelihood estimator
Multi-attribute group three-way decision making with degree-based linguistic term sets
The use of uncertainty to choose matching variables in statistical matching
GTransformer: Multi-view functional granulation and self-attention for tabular data modeling
On Spohn's rule for revision of beliefs
OWA fuzzy regression
Neighborhood relation-based variable precision multigranulation Pythagorean fuzzy rough set approach for multi-attribute group decision making
Active classification using belief functions and information gain maximization
Reasoning about knowledge and conditional probability
Representing independence models with elementary triplets
Modelling epistemic irrelevance with choice functions
Trend-pattern unlimited fuzzy information granule-based LSTM model for long-term time-series forecasting
Reduction approaches for fuzzy covering systems
An evidential approach to SLAM, path planning, and active exploration
Attribute reduction for heterogeneous data based on monotonic relative neighborhood granularity
Imprecise probability in statistical inference and decision making
Improved fuzzy partitions for fuzzy regression models
A modified simulation scheme for inference in Bayesian networks
Global discretization of continuous attributes as preprocessing for machine learning
Belief rule learning and reasoning for classification based on fuzzy belief decision tree
Geometry of possibility measures on finite sets
Minimality, necessity and sufficiency for argumentation and explanation
On the quantification and efficient propagation of imprecise probabilities with copula dependence
Triple I method of approximate reasoning on Atanassov's intuitionistic fuzzy sets
Conformity and independence with coherent lower previsions
Decision analysis using belief functions
Formal concept analysis approach to understand digital evidence relationships
Fuzzy information granular structures: A further investigation
Special issue from the 6th International Conference on Belief Functions (BELIEF 2021)
Combining stochastic uncertainty and linguistic inexactness: Theory and experimental evaluation
Learning Bayesian networks with local structure, mixed variables, and exact algorithms
A cost-sensitive three-way combination technique for ensemble learning in sentiment classification
Extreme points of credal sets generated by 2-alternating capacities
Comments on "Statistical reasoning with set-valued information: Ontic vs. epistemic view" by Inés Couso and Didier Dubois
A novel active learning approach to label one million unknown malware variants
Forecasting with imprecise probabilities
Factorizing lattices by interval relations
Bayesian robustness under a skew-normal class of prior distribution
Evaluating uncertainty with Vertical Barrier Models
Proximity measures for terms based on fuzzy neighborhoods in document sets
Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes
Defining belief functions using mathematical morphology - Application to image fusion under imprecision
On the applicability of maximum entropy to inexact reasoning
Solutions to fuzzy integral equations with arbitrary kernels
Optimal scale selection based on multi-scale single-valued neutrosophic decision-theoretic rough set with cost-sensitivity
A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics
MaxSAT resolution for regular propositional logic
Evidential box particle filter using belief function theory
Belief Scheduler based on model failure detection in the TBM framework. Application to human activity recognition
Prior knowledge for learning networks in non-probabilistic settings
Concepts and fuzzy sets: Misunderstandings, misconceptions, and oversights
Logic of agreement: foundations, semantic system and proof theory
Some thoughts about transfer learning. What role for the source domain?
Scheduling of parallel programs on configurable multiprocessors by genetic algorithms
The uncertainty of probabilistic rough sets in multi-granulation spaces
On the properties of parametric geometric OWA operator
Probabilistic qualification of attack in abstract argumentation
A measure of multivariate mutual complete dependence
Mean-entropy-based shadowed sets: A novel three-way approximation of fuzzy sets
A study of (T, N)-implications and its use to construct a new class of fuzzy subsethood measure
Geometrical aggregation of finite fuzzy sets
An approximate reasoning system: Design and implementation
Decision making under uncertainty using imprecise probabilities
Corrigendum to "Fuzzy implication functions based on powers of continuous t-norms" [Int. J. Approx. Reason. 83 (2017) 265-279]
Fuzzy logic in development of fundamentals of pattern recognition
Cost-sensitive three-way class-specific attribute reduction
GFDC: A granule fusion density-based clustering with evidential reasoning
Fuzzy decision-making applications
New prior near-ignorance models on the simplex
A novel weighted defence and its relaxation in abstract argumentation
Special issue on the Tenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2009)
Statistical properties of the fuzzy p-value
Projective MV-algebras
The distribution semantics for normal programs with function symbols
On the relationship between neural networks, pattern recognition and intelligence
Left and right distributivity between semi-uninorms and semi- S -uninorms
Introducing validity in fuzzy probability for judicial decision-making
Imprecise probability models and their applications
Semantic hashing
Philippe Smets (1938-2005)
Three-way recommendation model based on shadowed set with uncertainty invariance
A strong law of large numbers for non-additive probabilities
Linguistic modelling and information coarsening based on prototype theory and label semantics
Strong consistency and robustness of fuzzy medoids
Epistemic irrelevance in credal nets: The case of imprecise Markov trees
Interval three-way decision model based on data envelopment analysis and prospect theory
On the testability of coarsening assumptions: A hypothesis test for subgroup independence
KPCA-based training of a kernel fuzzy classifier with ellipsoidal regions
Investigation of semantic behavior in probabilistic argumentation
Aggregation of random elements over bounded lattices
Possibilistic sequential decision making
Time series clustering and classification
Making decisions with evidential probability and objective Bayesian calibration inductive logics
Scheduling results applicable to decision-theoretic troubleshooting
Forecasting using belief functions: An application to marketing econometrics
Fisher's disjunction as the principle vindicating p-values, confidence intervals, and their generalizations: A frequentist semantics for possibility theory
On computing probabilistic abductive explanations
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
Semantic classification of qualitative conditionals and calculating closures of nonmonotonic inference relations
Bayesian nonparametric system reliability using sets of priors
Integration of intelligent systems in development of smart adaptive systems
Discovery of link keys in resource description framework datasets based on pattern structures
Graphoid properties of concepts of independence for sets of probabilities
Learning multi-granularity decision implication in correlative data from a logical perspective
The combination of belief: When and how fast?
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004
Computational approaches to finding and measuring inconsistency in arbitrary knowledge bases
A Banzhaf value for games with a proximity relation among the agents
A novel covering rough set model based on granular-ball computing for data with label noise
Addressing ambiguity in randomized reinsurance stop-loss treaties using belief functions
PAC learning of concept inclusions for ontology-mediated query answering
Introduction to special issues on data mining and granular computing
Valid inferential models for prediction in supervised learning problems
Soft modelling and fuzzy logic control of wheeled skid-steer electric vehicles with steering prioritisation
Covering rough sets based on neighborhoods: An approach without using neighborhoods
Measures of inconsistency and defaults
"So much data. Who needs probability?" Have we been here before?
Optimal triangular decompositions of matrices with entries from residuated lattices
de Finetti's coherence and exchangeability in infinitary logic
Multigranulation decision-theoretic rough sets
Moderated revision
Influence of the fuzzy implication operator on the method-of-cases inference rule
On efficiently estimating the probability of extensions in abstract argumentation frameworks
Reductions of concept lattices based on Boolean formal contexts
Multiple attribute group decision making based on multigranulation probabilistic models, MULTIMOORA and TPOP in incomplete q-rung orthopair fuzzy information systems
From inconsistency handling to non-canonical requirements management: A logical perspective
Improvements proposed to noisy-OR derivatives for multi-causal analysis: A case study of simultaneous electromagnetic disturbances
Variational preferences and equilibria in games under ambiguous belief correspondences
Cautious classification based on belief functions theory and imprecise relabelling
REL - a logic for relative evidential support
The interpretability and scalability of linguistic-rule-based systems for solving regression problems
foxPSL: A Fast, Optimized and eXtended PSL implementation
Lukasiewicz-based merging possibilistic networks
n -Dimensional ( S , N )-implications
Three-way decisions with evaluative linguistic expressions
A synthetic view of belief revision with uncertain inputs in the framework of possibility theory
Nearly-Linear uncertainty measures
An update logic for information systems
A correctness result for synthesizing plans with loops in stochastic domains
Selected papers from the First International Joint Conference on Conceptual Knowledge Structures
A hierarchy of sum-product networks using robustness
Semantics for possibilistic answer set programs: Uncertain rules versus rules with uncertain conclusions
Decision tree search methods in fuzzy modeling and classification
Random sets and imprecise probabilities
A novel Chow-Liu algorithm and its application to gene differential analysis
Model-based clustering of high-dimensional data: Variable selection versus facet determination
Willingness-to-pay estimation using generalized maximum-entropy: A case study
Notes on "On ( O , G )-fuzzy rough sets based on overlap and grouping functions over complete lattices"
Exploiting collective knowledge with three-way decision theory: Cases from the questionnaire-based research
An emotion-processing system based on fuzzy inference and its subjective observations
Fuzzy reliability assessment considering the influence of many factors on reliability
Generalized multi-scale decision tables with multi-scale decision attributes
Constructing intuitionistic neighborhood based on intuitionistic fuzzy sets for three-way clustering
Inconsistency-tolerant reasoning over linear probabilistic knowledge bases
Partial-overall dominance three-way decision models in interval-valued decision systems
A comparison of fuzzy set theory and rough set theory in the context of automatic object classification
The relationships between topologies and generalized rough sets
A Chebyshev type inequality for Sugeno integral and comonotonicity
Tractable inference in credal sentential decision diagrams
Relevance, recovery and recuperation: A prelude to ring withdrawal
How to modify a fuzzy implication function to satisfy a desired property
On reduction of transitive fuzzy matrices and its applications
40 years of Dempster-Shafer theory
Surprisingly popular-based multivariate conceptual knowledge acquisition method
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
Exploiting fuzzy rough entropy to detect anomalies
Making Discrete Sugeno Integrals More Discriminant
A rough set approach for the discovery of classification rules in interval-valued information systems
Theory of evidence and non-exhaustive frames of discernment: Plausibilities correction methods
The imprecise Dirichlet model
Identification of elastic properties in the belief function framework
A Fuzzy logic controller with learning through the evolution of its knowledge base
Belief updating in multiply sectioned Bayesian networks without repeated local propagations
Maps between covering approximation spaces and the product space of two covering approximation spaces
Multi-adjoint algebras versus non-commutative residuated structures
A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques
Extending Removed Sets Revision to partially preordered belief bases
Fuzzy projection pursuit density estimation by eigenvalue method
Attribute reduction method based on fuzzy relational equations and inequalities
Note on "Frequentistic approximations to Bayesian prevision of exchangeable random elements" [Int. J. Approx. Reason. 78 (2016) 138-152]
Pseudo-label neighborhood rough set: Measures and attribute reductions
The logic of risky knowledge, reprised
Three-way granular computing, rough sets, and formal concept analysis
LCM from FCA point of view: A CbO-style algorithm with speed-up features
Definition and classification of semi-fuzzy quantifiers for the evaluation of fuzzy quantified sentences
Bayes linear kinematics in a dynamic survival model
A review of three-way decision: Triadic understanding, organization, and perspectives
Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams
Increased robustness of Bayesian networks through probability intervals
A review on declarative approaches for constrained clustering
Interpreting membership functions: A constructive approach
Powerset operators induced by fuzzy relations as a basis for fuzzification of various mathematical structures
P-FCM: a proximity-based fuzzy clustering for user-centered web applications
Extensions of the multicriteria analysis with pairwise comparison under a fuzzy environment
Attribute reduction based on D-S evidence theory in a hybrid information system
Deterministic and stochastic damage detection via dynamic response analysis
Generalized loopy 2U: A new algorithm for approximate inference in credal networks
Looking for a good fuzzy system interpretability index: An experimental approach
Some relationships between fuzzy and random set-based classifiers and models
Jeffrey's conditioning rule in neighbourhood models
A capacity-based framework encompassing Belnap-Dunn logic for reasoning about multisource information
A probabilistic deontic argumentation framework
Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks
Graph-based multi-agent decision making
Description and classification of complex structured objects by applying similarity measures
Arguing about social evaluations: From theory to experimentation
The consistency of Dempster-Shafer updating
Effective dimensions of partially observed polytrees
Systematic attribute reductions based on double granulation structures and three-view uncertainty measures in interval-set decision systems
Uncertain information: Random variables in graded semilattices
Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning
Approximate inference in Bayesian networks using binary probability trees
Sets of desirable gambles: Conditioning, representation, and precise probabilities
Different approaches to fuzzy clustering of incomplete datasets
A three-way cluster ensemble approach for large-scale data
A universal approach to imprecise probabilities in possibility theory
Update of optimal scale in dynamic multi-scale decision information systems
Inner product reduction for fuzzy formal contexts
On the semantics of fuzzy logic
Variable elimination for influence diagrams with super value nodes
Borderline vs. unknown: comparing three-valued representations of imperfect information
AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage
Automated generation of connectionist expert systems for problems involving noise and redundancy
Precisely imprecise: A collection of papers dedicated to Henry E. Kyburg Jr
Large-scale local causal inference of gene regulatory relationships
Conceptual orthospaces - Convexity meets negation
Anomaly detection in vessel tracks using Bayesian networks
Inner and outer characterization of the projection of polynomial equations using symmetries, quotients and intervals
On the characterizations of fuzzy implications satisfying I ( x , I ( y , z ))= I ( I ( x , y ), I ( x , z ))
Semantics and computation of the generalized modus ponens: The long paper
Computing lower and upper expected first-passage and return times in imprecise birth-death chains
On the relative value of weak information of supervision for learning generative models: An empirical study
Efficient inference in Bayes networks as a combinatorial optimization problem
A cascaded genetic algorithm for improving fuzzy-system design
Finite approximations of data-based decision problems under imprecise probabilities
Solving possibilistic games with incomplete information
Value versus damage of information release: A data privacy perspective
The game-theoretic capital asset pricing model
A rough logic formalism for fuzzy controllers: A hard and soft computing view
Inducing implication relations
Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks
Revising beliefs on the basis of evidence
The middle-parametric representation of fuzzy numbers and applications to fuzzy interpolation
Fuzzy rules with quantifiers as weights
Robustness of full implication algorithms based on interval-valued fuzzy inference
Stability analysis for a class of Takagi-Sugeno fuzzy control systems with PID controllers
Label distribution learning with noisy labels via three-way decisions
A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets
A neurofuzzy approach to variational problems by using Gaussian membership functions
Possibilistic networks for information retrieval
Reasoning with imprecise probabilities
Ordinal sum construction for uninorms and generalized uninorms
Algorithms for generating arguments and counterarguments in propositional logic
A new method for tackling asymmetric decision problems
Fuzzy component based object detection
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks
Generalized comonotonicity and new axiomatizations of Sugeno integrals on bounded distributive lattices
New paraconsistent modal logics based on rough modus ponens rules and their interrelations
Integrating expert systems using fuzzy numbers
Ontology-based intelligent decision support agent for CMMI project monitoring and control
Bayesian learning for a class of priors with prescribed marginals
A belief revision framework for revising epistemic states with partial epistemic states
Using a priori knowledge to create probabilistic models for optimization
Rough set-based feature selection for weakly labeled data
A further step for efficient corrections of inconsistent probabilistic data sets
Evidence, knowledge, and belief functions
A measure of mutual complete dependence in discrete variables through subcopula
Maximal hypercliques search based on concept-cognitive learning
A robust multi-label feature selection based on label significance and fuzzy entropy
A constructing approach to multi-granularity object-induced three-way concept lattices
Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs
On efficient WOWA optimization for decision support under risk
Robust classification of multivariate time series by imprecise hidden Markov models
Imaging and Sleeping Beauty: A case for double-halfers
Refinement of temporal constraints in fuzzy associations
Comments on "Stability analysis for a class of Takagi-Sugeno fuzzy control systems with PID controllers"
Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms
Preference relation approach for obtaining OWA operators weights
Data meaning and knowledge discovery: Semantical aspects of information systems
Spatiotemporal adaptive neural network for long-term forecasting of financial time series
Causal effect identification in acyclic directed mixed graphs and gated models
Probabilistic abstract argumentation frameworks, a possible world view
Compound approximation spaces for relational data
Interpolation of fuzzy if-then rules by neural networks
A comparative analysis of aggregation rules for coherent lower previsions
Advances in Weighted Logics for Artificial Intelligence
A new concept of fuzzy rule-based expert systems
Decomposition and representation theorem of set-valued amarts
Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
Cauchy Graph Convolutional Networks
Fusion of expert and learnt knowledge in a framework of fuzzy labels
A key to fuzzy-logic inference
Algorithmic aspects of fuzzy control
A characterization of rational amalgamation operations
Generating possible intentions with constrained argumentation systems
Data complexity: An FCA-based approach
"I can name that Bayesian network in two matrixes!"
Reasoning with belief functions: An analysis of compatibility