The following pages link to The transferable belief model (Q1327158):
Displaying 50 items.
- Decision analysis using belief functions (Q918735) (← links)
- Shape from silhouette using Dempster-Shafer theory (Q962804) (← links)
- Comparing approximate reasoning and probabilistic reasoning using the Dempster-Shafer framework (Q962900) (← links)
- Combination of partially non-distinct beliefs: the cautious-adaptive rule (Q962914) (← links)
- Linguistic modelling and information coarsening based on prototype theory and label semantics (Q962929) (← links)
- Building a binary outranking relation in uncertain, imprecise and multi-experts contexts: the application of evidence theory (Q962938) (← links)
- Dempster-Shafer theory applied to uncertainty surrounding permeability (Q964853) (← links)
- Representing uncertainty on set-valued variables using belief functions (Q969529) (← links)
- The geometry of consonant belief functions: simplicial complexes of necessity measures (Q969574) (← links)
- The group consensus based evidential reasoning approach for multiple attributive group decision analysis (Q976495) (← links)
- The unnormalized Dempster's rule of combination: A new justification from the least commitment principle and some extensions (Q989884) (← links)
- Multisensor triplet Markov chains and theory of evidence (Q997027) (← links)
- Learning from partially supervised data using mixture models and belief functions (Q1005634) (← links)
- Extending stochastic ordering to belief functions on the real line (Q1006751) (← links)
- A belief-based sequential fusion approach for fusing manual signs and non-manual signals (Q1010088) (← links)
- Possibility theory and statistical reasoning (Q1010346) (← links)
- Practical representations of incomplete probabilistic knowledge (Q1010348) (← links)
- Transversality of the Shapley value (Q1024691) (← links)
- The vulnerability of the transferable belief model to Dutch books (Q1274569) (← links)
- Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem (Q1308975) (← links)
- Belief function independence: I. The marginal case (Q1347927) (← links)
- The application of the matrix calculus to belief functions. (Q1399494) (← links)
- Belief function independence. II: The conditional case. (Q1399495) (← links)
- Resource bounded and anytime approximation of belief function computations. (Q1399499) (← links)
- The normative representation of quantified beliefs by belief functions (Q1402737) (← links)
- Belief functions and default reasoning (Q1583512) (← links)
- Modeling vague beliefs using fuzzy-valued belief structures. (Q1590608) (← links)
- DS/AHP method: A mathematical analysis, including an understanding of uncertainty (Q1600983) (← links)
- A class of belief structures based on possibility measures (Q1626289) (← links)
- A generic framework to include belief functions in preference handling and multi-criteria decision (Q1644894) (← links)
- Probability estimation in the framework of intuitionistic fuzzy evidence theory (Q1665620) (← links)
- Conditional belief functions as lower envelopes of conditional probabilities in a finite setting (Q1671692) (← links)
- Multi-target PHD tracking and classification using imprecise likelihoods (Q1678409) (← links)
- Counter-deception in information fusion (Q1679658) (← links)
- Face pixel detection using evidential calibration and fusion (Q1679665) (← links)
- Idempotent conjunctive and disjunctive combination of belief functions by distance minimization (Q1687269) (← links)
- A new definition of entropy of belief functions in the Dempster-Shafer theory (Q1687270) (← links)
- Frequency-calibrated belief functions: review and new insights (Q1687287) (← links)
- Multiscale probability transformation of basic probability assignment (Q1718125) (← links)
- Identification of elastic properties in the belief function framework (Q1726234) (← links)
- Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise (Q1726254) (← links)
- A correlation coefficient for belief functions (Q1726277) (← links)
- Evidential split-and-merge: application to object-based image analysis (Q1726300) (← links)
- A correspondence between belief function combination and knowledge base merging (Q1726311) (← links)
- Evidential box particle filter using belief function theory (Q1726373) (← links)
- An information fusion approach by combining multigranulation rough sets and evidence theory (Q1749206) (← links)
- Weighted cautious conjunctive rule for belief functions combination (Q1750333) (← links)
- Neurosymbolic integration with uncertainty (Q1757455) (← links)
- Data association in multi-target tracking using belief function (Q1761245) (← links)
- Evidential reasoning in large partially ordered sets. Application to multi-label classification, ensemble clustering and preference aggregation (Q1761871) (← links)
