The Transferable Belief Model

No abstract is available for this paper.

• Publication year

  1991

• Venue

  Artificial Intelligence

• Publication date

  1991-10-15

• Fields of study

  Mathematics, Philosophy, Computer Science

• Identifiers
  DOI 10.1016/0004-3702(94)90026-4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Constructing the Pignistic Probability Function in a Context of Uncertainty

  2013cited by this paper
• The Transferable Belief Model for Belief Representation

  1996cited by this paper
• Pulcinella: A General Tool for Propagating Uncertainty in Valuation Networks

  1994cited by this paper
• Focusing versus updating in belief function theory

  1994cited by this paper
• Decision-Making with Belief Functions and Pignistic Probabilities

  1993cited by this paper
• Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem

  1993cited by this paper
• On dynamics of cautious belief and conditional objects

  1993cited by this paper
• The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model

  1992cited by this paper
• Resolving misunderstandings about belief functions

  1992influential reference
• On the axiomatic justification of Dempster's rule of combination

  1992cited by this paper
• The transferable belief model and random sets

  1992cited by this paper
• The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices

  1992cited by this paper
• Two Views of Belief: Belief as Generalized Probability and Belief as Evidence

  1992cited by this paper
• Varieties of ignorance and the need for well-founded theories

  1991influential reference
• Characterizing Belief with Minimum Commitment

  1991cited by this paper
• Probabilistic reasoning in intelligent systems: Networks of plausible inference

  1991cited by this paper
• Axiomatization of qualitative belief structure

  1991cited by this paper
• An Efficient Implementation of Belief Function Propagation

  1991cited by this paper
• Reasoning with belief functions: An analysis of compatibility

  1990cited by this paper
• Languages and Designs for Probability Judgment

  1990cited by this paper
• The transferable belief model and other interpretations of Dempster-Shafer's model

  1990cited by this paper
• Using Dempster-Shafer theory in knowledge representation

  1990cited by this paper
• Default reasoning and the transferable belief model

  1990cited by this paper
• The Belief Calculus and Uncertain Reasoning

  1990cited by this paper
• Belief functions

  1990influential reference
• The Combination of Evidence in the Transferable Belief Model

  1990cited by this paper
• A Hybrid Framework for Representing Uncertain Knowledge

  1990cited by this paper
• Fast Algorithms for Dempster-Shafer Theory

  1990cited by this paper
• Computational aspects of the Mobius transformation

  1990cited by this paper
• Perspectives on the theory and practice of belief functions

  1990cited by this paper
• Probability, frequency and reasonable expectation

  1990cited by this paper
• Assumptions, Beliefs and Probabilities

  1989cited by this paper
• Probabilistic reasoning in intelligent systems - networks of plausible inference

  1989cited by this paper
• Belief functions, Non-standard logics for automated reasoning

  1988cited by this paper
• Application of Linear Utility Theory to Belief Functions

  1988cited by this paper
• Dempster-shafer versus probabilistic logic

  1988cited by this paper
• An AI view of the treatment of uncertainty

  1987cited by this paper
• Belief in Belief Functions: An Examination of Shafer's Canonical Examples

  1987cited by this paper
• Propagating belief functions in qualitative Markov trees

  1987cited by this paper
• Is shafer general bayes?

  1987cited by this paper
• The Logical Foundations of Evidential Reasoning (revised)

  1987cited by this paper
• The Probability Approach to the Treatment of Uncertainty in Artificial Intelligence and Expert Systems

  1987cited by this paper
• Bayesian and Non-Bayesian Evidential Updating

  1987cited by this paper
• Languages and designs for probability

  1985cited by this paper
• Evidentiary value : philosophical, judicial and psychological aspects of a theory : essays dedicated to Sören Halldén on his sixtieth birthday

  1983cited by this paper
• Optimal Statistical Decisions

  1970cited by this paper
• Lectures on Functional Equations and Their Applications

  1968cited by this paper
• Logic of Statistical Inference.

  1966cited by this paper
• Logic of Statistical Inference

  1965cited by this paper
• Discussion *

  1963cited by this paper
• Consistency in Statistical Inference and Decision

  1961cited by this paper

• An Evaluation Method for Model Maturity Supporting Model-Based Systems Engineering at the Conceptual Design Stage

  2026cites this paper
• Equivalence and Divergence of Bayesian Log-Odds and Dempster's Combination Rule for 2D Occupancy Grids

  2026influential citation
• Hierarchical Sensor Fusion Using Dempster-Shafer Theory for Anomaly Detection in Aviation

  2026cites this paper
• Evidential clustering with view-weight learning for proximity data

  2026cites this paper
• Dynamic Quality Assessment-Based Multi-Feature Fusion

  2026cites this paper
• Reliability aware multimodal detection of active landslides via evidence theoretic fusion of InSAR, optical, and DEM data

  2026cites this paper
• Safety Assessment of Critical Aircraft Systems Under Multisource Uncertainty Based on Evidence Network

  2026cites this paper
• Frequent itemsets mining over imperfect databases: a decremental pruning approach

  2026cites this paper
• Improving PCR-GLOBWB 2 to model regional water stress dynamics under climate and socioeconomic change scenarios

  2026cites this paper
• Complex evidential reasoning-based multi-source information fusion for pattern classification

  2026cites this paper
• Distributed Data Classification with Coalition-Based Decision Trees and Decision Template Fusion

  2025cites this paper
• FNBT: Full Negation Belief Transformation for Open-World Information Fusion Based on Dempster-Shafer Theory of Evidence

  2025influential citation
• Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means

  2025cites this paper
• Selective Learnable Discounting in Deep Evidential Semantic Mapping

  2025cites this paper
• Monitoring of operational resilience on urban road network: A Shaoxing case study

  2025cites this paper
• Essential Conflict Measurement in Dempster–Shafer Theory for Intelligent Information Fusion

  2025cites this paper
• Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions

  2025cites this paper
• Failure Mode and Effects Analysis Method on the Air System of an Aircraft Turbofan Engine in Multi-Criteria Open Group Decision-Making Environment

  2025cites this paper
• A state-of-the-art survey on neural computation-enhanced Dempster-Shafer theory for safety accidents: Applications, challenges, and future directions

  2025cites this paper
• Dempster-Shafer theory for object matching under data imperfection constraints: Application to wastewater networks' line matching

  2025cites this paper
• Attention-based credible evidential segmentation network for remote sensing ship segmentation

  2025cites this paper
• DEEM: A novel approach to semi-supervised and unsupervised image clustering under uncertainty using belief functions and convolutional neural networks

  2025cites this paper
• Predictive and early warning analysis of infectious gastroenteritis based on the BiLSTM-BiGRU model

  2025cites this paper
• Mapping influence zones via Thematic modeling and the Theory of Belief Functions

  2025cites this paper
• A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theory

  2025cites this paper
• Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation

  2025cites this paper
• Uncertainty measures in a generalized theory of evidence

  2025cites this paper
• A probability-based linguistic decision-making approach to a reliable Kano model for classifying quality attributes

  2025cites this paper
• A Distance Measure for Random Permutation Set: From the Layer-2 Belief Structure Perspective

  2025cites this paper
• A Non-overlap-based Conflict Measure for Random Permutation Sets

  2025influential citation
• Overview on evidential fusion approaches in the context of collaborative perception for occupancy modeling

  2025cites this paper
• A Class Inference Scheme with Dempster–Shafer Theory for Learning Fuzzy-Classifier Systems

  2025cites this paper
• Conflict management in a distance to prototype-based evidential neural network

  2025cites this paper
• Trust in Fusion-Driven Human-Machine Environments

  2025cites this paper
• Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition

  2025cites this paper
• Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion

  2025cites this paper
• An improved CREAM model based on Deng entropy and evidence distance

  2025cites this paper
• Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know

  2025cites this paper
• Modeling and updating uncertain evidence within belief function theory

  2025cites this paper
• Influence factor-based transformation method for translating mass function to probability in Dempster-Shafer evidence theory

  2025cites this paper
• Quality and Trust Indicators of Digital Road Infrastructure Data Are Essential to Improve Its Usability: An Intelligent Speed Assist (ISA) Study

  2025influential citation
• Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly'Know When They Do Not Know'

  2025cites this paper
• Decision making under uncertainty: increasing the impact of public Participatory GIS

  2025cites this paper
• Random-Set Large Language Models

  2025cites this paper
• Selection rules for new focal elements in the Dempster-Shafer evidence theory

  2025cites this paper
• Extending intuitionistic operations, orderings, and entropy measures on generalized fuzzy orthopartitions

  2025cites this paper
• OCCM-RPS: Ordered credal C-means clustering based on random permutation set

  2025cites this paper
• An efficient Monte Carlo method for valid prior-free possibilistic statistical inference

  2025cites this paper
• Partial distance evidential clustering for missing data with multiple imputation

  2025cites this paper
• Towards Accurate and Reliable ICU Outcome Prediction: A Multimodal Learning Framework Based on Belief Function Theory using Structured EHRs and Free-Text Notes

  2025cites this paper
• Artificial Intelligence-Based Prediction Models for Peak Inter-Story Drift Ratios in Steel Moment-Resisting Frame Structures Under Mainshock–Aftershock Sequences

  2025cites this paper
• Sosyal Bilimlerde Yapay Zekâ İzleri: Bibliyometrik Bir Analiz

  2025cites this paper
• A tensor-based approach to Dempster-Shafer computing for evidence combination

  2025cites this paper
• Particle swarm optimization-based unscented Kalman Filter for tremor suppression in minimally invasive surgical robots

  2025cites this paper
• Handling Uncertainty in Trust and Distrust Based Recommendation System Using Dempster-Shafer Theory

  2025cites this paper
• Estimation of Vessel Collision Risk Under Uncertainty Using Interval Type-2 Fuzzy Inference Systems and Dempster–Shafer Evidence Theory

  2025cites this paper
• Ecological safety evaluation method for plateau characteristic agribusinesses based on knowledge granularity

  2025cites this paper
• Advancing Construction Quality Management: An Integrated Evidential Reasoning and Belief Functions Framework

  2025cites this paper
• Reliability-aware Belief Functions Combination in Intelligent Transportation Systems

  2025cites this paper
• Evaluation of LLM Reasoning Under Uncertainty: An Atomic Comparison to Normative Approaches

  2025cites this paper
• All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty

  2025cites this paper
• Scalable Evidential K-Nearest Neighbor Classification on Big Data

  2024cites this paper
• Enhancing Building Energy Efficiency: An Integrated Approach to Predicting Heating and Cooling Loads using Machine Learning and Optimization Algorithms

  2024cites this paper
• Complex Evidence Theory for Multisource Data Fusion

  2024influential citation
• Learning-Based BBA Modeling Approach with Multi-Method Fusion

  2024cites this paper
• A Dual-threshold Based Evidential Openmax Approach for Open Set Recognition

  2024cites this paper
• Deep Evidential Clustering of Images

  2024cites this paper
• Decision with belief functions and generalized independence: Two impossibility theorems

  2024cites this paper
• Comparative Study of Wolf Pack Algorithm and Artificial Bee Colony Algorithm: Performance Analysis and Optimization Exploration

  2024cites this paper
• Research on fatigue detection of flight trainees based on face EMF feature model combination with PSO-CNN algorithm

  2024cites this paper
• A new approximate belief mutual information derived from the developed fuzzy mutual information considering belief negation

  2024cites this paper
• Combination of dependent and partially reliable Gaussian random fuzzy numbers

  2024cites this paper
• Calibration of Evidential Mass Function for Trustworthy Information Processing in Scene Graph Generation

  2024cites this paper
• An improved approach for incomplete information modeling in the evidence theory and its application in classification

  2024cites this paper
• Optimizing Cardinality-aware Combination Rules in Belief Functions Theory: an Enhanced Framework

  2024cites this paper
• High-Order Rotational-Migration Correction and ISAR Imaging in the THz Band Considering Impact of Scattering Intensity

  2024cites this paper
• Towards Cardinality-Aware Evidential Combination Rules in Dempster–Shafer Theory

  2024cites this paper
• Multi-source information fusion based on evidence reasoning using double frames of discernment for estimating the number of remaining missiles

  2024cites this paper
• Conditional plausibility entropy of belief functions based on Dempster conditioning

  2024cites this paper
• Evidence representation of uncertain information on a frame of discernment with semantic association

  2024cites this paper
• Modeling uncertain requirements

  2024influential citation
• Investigating Another Weighted Conflict Redistribution Rule of Combination

  2024influential citation
• New belief divergence measure based on cosine function in evidence theory and application to multisource information fusion

  2024cites this paper
• Unifying credal partitions and fuzzy orthopartitions

  2024cites this paper
• Evidential uncertainty sampling strategies for active learning

  2024cites this paper
• Belief Exponential Divergence for D-S Evidence Theory and its Application in Multi-Source Information Fusion

  2024cites this paper
• Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices

  2024cites this paper
• Uncertainty management with quantitative propensity matrix in random permutation set theory

  2024cites this paper
• Time Evidence Fusion Network: Multi-Source View in Long-Term Time Series Forecasting

  2024cites this paper
• The Effects of Pre-Fusion Probability Calibration

  2024influential citation
• Conditioning w.r.t. random sets. Part 1: basic notions and results

  2024influential citation
• Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs

  2024cites this paper
• Fault Diagnosis Method for Space Fluid Loop Systems Based on Improved Evidence Theory

  2024cites this paper
• Knowledge Ontology of Information Quality for Information Fusion

  2024cites this paper
• A novel aerospace target decision model considering will of commander based on probability transformation

  2024cites this paper
• Evaluating the reliability and relative weight of the evidence using approximate evidential mutual information

  2024cites this paper
• Conditioning w.r.t. random sets. Part 2: combination rules

  2024cites this paper
• A target intention recognition method based on information classification processing and information fusion

  2024cites this paper
• Evaluate the competence of fuzzy preference using statistical conflict in the frame of DS evidence theory

  2024cites this paper
• Basic Belief Assignment Determination Based on Radial Basis Function Network

  2024cites this paper