Modeling vague beliefs using fuzzy-valued belief structures
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Computer aided fuzzy medical diagnosis
Information Sciences: an International Journal - Special issue: Medical expert systems
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
Practical modeling of Bayesian decision problems - exploitingdeterministic relations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A method for evaluating elicitation schemes for probabilisticmodels
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tuning certainty factor and local weight of fuzzy production rulesby using fuzzy neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A neural network classifier based on Dempster-Shafer theory
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the Dempster-Shafer evidence theory and non-hierarchical aggregation of belief structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Artificial Intelligence in Medicine
Generalization of the Dempster-Shafer theory: a fuzzy-valued measure
IEEE Transactions on Fuzzy Systems
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Prediction-based diagnosis and loss prevention using qualitative multi-scale models
Information Sciences: an International Journal
Information Sciences: an International Journal
Energy and quality aware query processing in wireless sensor database systems
Information Sciences: an International Journal
Decision making in fuzzy discrete event systems
Information Sciences: an International Journal
Information Sciences: an International Journal
A fuzzy logic-based computational recognition-primed decision model
Information Sciences: an International Journal
Diagnosability of fuzzy discrete event systems
Information Sciences: an International Journal
Sensor Resource Management driven by threat projection and priorities
Information Sciences: an International Journal
The relationship of controllability between classical and fuzzy discrete-event systems
Information Sciences: an International Journal
Encoding fuzzy possibilistic diagnostics as a constrained optimization problem
Information Sciences: an International Journal
On-line fuzzy modeling via clustering and support vector machines
Information Sciences: an International Journal
Combining Basic Probability Assignments for Fuzzy Focal Elements
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Online fuzzy modeling with structure and parameter learning
Expert Systems with Applications: An International Journal
Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition
Artificial Intelligence in Medicine
Fuzzy concrete bridge deck condition rating method for practical bridge management system
Expert Systems with Applications: An International Journal
Mass function derivation and combination in multivariate data spaces
Information Sciences: an International Journal
A new approach to the rule-base evidential reasoning: Stock trading expert system application
Expert Systems with Applications: An International Journal
A fuzzy-evidential hybrid inference engine for coronary heart disease risk assessment
Expert Systems with Applications: An International Journal
Maximal confidence intervals of the interval-valued belief structure and applications
Information Sciences: an International Journal
Random set framework for multiple instance learning
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes
Expert Systems with Applications: An International Journal
A model of a diagnostic rule in the dempster-shafer theory
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Medical pattern recognition: applying an improved intuitionistic fuzzy cross-entropy approach
Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation
Information Sciences: an International Journal
Inducing and storing generalised evidences using semantic web formalisms
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
An evidential network approach to support uncertain multiviewpoint abductive reasoning
Information Sciences: an International Journal
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
Alternative second-order cone programming formulations for support vector classification
Information Sciences: an International Journal
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The paper presents a unified fuzzy-probabilistic framework for modeling processes of medical diagnosis. The two basic concepts of the Dempster-Shafer theory, i.e. focal elements and a basic probability assignment, correspond to disease symptoms and the significance of an individual symptom in the diagnosis, respectively. The belief computation is related to diagnostic inference. The final conclusion of the inference is the diagnosis with the greatest belief value. Fuzzy sets are used to describe focal elements. It is shown how their membership functions and basic probability assignments are estimated on the basis of experimental data. The interpretation of focal elements as fuzzy sets along with individual consideration of evidence imprecision and uncertainty of diagnosis are the essential new aspects of the presented method. Experimental studies have demonstrated the superiority of the proposed approach over some other modeling alternatives.