Uncertainty in Knowledge Bases: 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'90, Paris, France, July 2 - 6, 1990. ProceedingsThe management and processing of uncertain information has shown itself to be a crucial issue in the development of intelligent systems, beginning withits appearance in the such systems as Mycin and Prospector. The papers in this volume reflect the current range of interests or researchers in thefield. Currently, the major approaches to uncertainty include fuzzy set theory, probabilistic methods, mathematical theory of evidence, non-standardlogics such as default reasoning, and possibility theory. The initial part of the volume is devoted to papers dealing with the foundations of these approaches, where recent attempts have been made to develop systems combining multiple approaches. A significant part of the book looks at the management of uncertainty in a number of the paradigmatic domainsof intelligent systems such as expert systems, decision making, databases, image processing, and reasoning networks. The papers are extended versions of presentations at the third international conference on information processing and management of uncertainty in knowledge-based systems. The proceedings of the two preceding IPMU conferences appear as LNCS 286 and LNCS 313. |
Contents
On Spohns Theory of Epistemic Beliefs | 2 |
Fast Algorithms for DempsterShafer Theory | 14 |
On the Combination of Information Sources | 24 |
Application Aspects of Qualitative Conditional Independence | 31 |
Comparisons and New Methods | 41 |
Propagating Belief Functions Through Constraints Systems | 50 |
Updating Uncertain Information | 58 |
Assessing Multiple Beliefs According to One Body of Evidence Why It May Be Necessary and How We Might Do It Correctly | 68 |
Information and the MindBody Problem | 298 |
A General Information for Fuzzy Sets | 307 |
Information Theory Based on Fuzzy Possibilistic Rules | 317 |
Measuring Uncertainty Given Imprecise Attribute Values | 327 |
Discrimination by Optimizing a Local Consistency Criterion | 337 |
Minimum Loss of Information and Image Segmentation | 349 |
Hybrid Approaches to Uncertainty | 359 |
Towards a General Theory of Evidential Reasoning | 360 |
2 Probabilistic Methods | 75 |
Probabilistic Default Reasoning | 76 |
On Knowledge Representation in Belief Networks | 86 |
STOSS A Stochastic Simulation System for Bayesian Belief Networks | 97 |
Conditional Events with Vague Information in Expert Systems | 106 |
On Representation of Source Reliability in Weight of Evidence | 115 |
Fuzzy Sets | 125 |
An Abstract Mechanism for Handling Uncertainty | 126 |
A Method to Build Membership Functions | 136 |
Algebraic Analysis of Fuzzy Indiscernibility | 143 |
On Modelling Fuzzy Preference Relations | 154 |
Conceptual Connectivity Analysis by Means of Fuzzy Partitions | 165 |
Transitive Solutions of Relational Equations on Finite Sets and Linear Lattices | 173 |
Generalized Cardinal Numbers and Their Ordering | 183 |
An IntervalBased Approach for Working With Fuzzy Numbers | 193 |
Nonmonotonic Reasoning | 203 |
Beyond Specificity | 204 |
About the Logical Interpretation of Ambiguous Inheritance Hierarchies | 213 |
Nonmonotonic Reasoning and Modal Logic from Negation as Failure to Default Logic | 223 |
On the Notion of Uncertain Belief Revision Systems | 232 |
Nonmonotonic Reasoning in a Semantic Network | 239 |
Nonstandard Logics | 249 |
Inference in Possibilistic Hypergraphs | 250 |
Semantic Evaluation in Possibilistic Logic Application to MinMax Discrete Optimisation Problems | 260 |
Formalizing MultipleValued Logics as Instiutions | 269 |
Empirical Plausible Reasoning by MultipleValues Logic | 279 |
Time Tense and Relativity Revisited | 286 |
Information | 297 |
A Pragmatic Way Out of the Maze of Uncertainty Measures | 370 |
Models for Reasoning with Multitype Uncertainty in Expert Systems | 377 |
A Hybrid Belief System for Doubtful Agents | 393 |
How to Reason With Uncertain Knowledge | 403 |
Computation and Uncertainty in Regulated Synergetic Machines | 413 |
Uncertainty in Intelligent Systems | 423 |
Inductive Learning From Incomplete and Imprecise Examples | 424 |
Some Algorithms for Evaluating Fuzzy Relational Queries | 431 |
Time and Incompleteness in a Deductive Database | 443 |
An Approach to the Linguistic Summarization Data | 456 |
Management of Uncertainty in the Attachment Problem in Natural Language Processing | 469 |
A Topological Approach to Some Cluster Methods | 479 |
A Fuzzy KnowledgeBased System for Biomedical Image Interpretation | 488 |
Management of Chaotic Systems with the Model for the Regulation of Agonistic Antagonistic Couples | 498 |
DecisionMaking Under Uncertainty | 509 |
An Application to Transport Planning | 510 |
Fuzzy Logic Approach to Modelling in Ecosystem Research | 520 |
An Application of Fuzzy MultiCriteria Decision Making for Topological Design of Large Networks | 528 |
A Distance Measure for Decision Making in Uncertain Domains | 538 |
The Role of Processing Both Objects and Procedures Through Semantic Networks | 548 |
Neural Networks | 561 |
A Neural Network Expert System With Confidence Measurements | 562 |
Dealing With Uncertainty in a Distributed Expert System Architecture | 568 |
A Connectionist Model for Knowledge Based Systems | 578 |
A Medical Decision Aid Based on a Neural Network Model | 588 |
A Fuzzy Neuron Based Upon Maximum Entropy Ordered Weighted Averaging | 598 |
Other editions - View all
Uncertainty in Knowledge Bases Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh No preview available - 2014 |
Common terms and phrases
algorithm application approach Artificial Intelligence assignment associated attribute axioms Bayesian belief functions belief networks belief revision binary relation calculated certainty choicepoint clauses Computer concept conditional conditional independence consider constraints corresponding database decision default default logic defined definition Dempster-Shafer theory denote described disbelief function distribution domain Dubois elements entropy epistemic evaluation evidence example expert systems Figure finite formula fuzzy numbers fuzzy sets fuzzy subset given graph inference input interpretation interval knowledge base knowledge representation KR-mod label Lemma linguistic logic programming measure membership function method Möbius transformation modal logic neural network node objects obtained operators paper parameters partial model possibilistic possible Prade predicate probabilistic probability problem Proc procedure Proof properties proposition query reasoning relation reliability representation represented semantic semantic network Shafer solution specific structure summarization t-norm Theorem theory truth value Tweety uncertainty variables vector