Uncertainty in Knowledge Bases: 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Ipmu'

ISBN-13: 9783540543466 / Angielski / Miękka / 1991 / 614 str.

Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi A. Zadeh

Opis

The management and processing of uncertain information has shown itself to be a crucial issue in the development of intelligent systems. Currently, the major approaches to uncertainty include fuzzy set theory, probabilistic methods, mathematical theory of evidence, non-standard logics such as default reasoning, and possibility theory.

Spis treści

On Spohn's theory of epistemic beliefs.- Fast algorithms for Dempster-Shafer theory.- On the combination of information sources.- Application aspects of qualitative conditional independence.- A study of probabilities and belief functions under conflicting evidence: Comparisons and new methods.- Propagating belief functions through constraints systems.- Updating uncertain information.- Assessing multiple beliefs according to one body of evidence — Why it may be necessary, and how we might do it correctly.- Probabilistic default reasoning.- On knowledge representation in belief networks.- Stoss — A stochastic simulation system for Bayesian belief networks.- Conditional events with vague information in expert systems.- On representation of source reliability in weight of evidence.- An abstract mechanism for handling uncertainty.- A method to build membership functions.- Algebraic analysis of fuzzy indiscernibility.- On modelling fuzzy preference relations.- Conceptual conectivity analysis by means of fuzzy partitions.- Transitive solutions of relational equations on finite sets and linear lattices.- Generalized cardinal numbers and their ordering.- An interval-based approach for working with fuzzy numbers.- Beyond specificity.- About the logical interpretation of ambiguous inheritance hierarchies.- Nonmonotonic reasoning and modal logic, from negation as failure to default logic.- On the notion of uncertain belief revision systems.- Non-monotonic reasoning in a semantic network.- Inference in possibilistic hypergraphs.- Semantic evaluation in possibilistic logic application to min-max discrete optimisation problems.- Formalizing multiple-valued logics as institutions.- Empirical plausible reasoning by multiple-valued logic.- Time, tense, and relativity revisited.- Information and the mind-body problem.- A general information for fuzzy sets.- Information theory based on fuzzy (possibilistic) rules.- Measuring uncertainty given imprecise attribute values.- Discrimination by optimizing a local consistency criterion.- Minimum loss of information and image segmentation.- Towards a general theory of evidential reasoning.- A pragmatic way out of the maze of uncertainty measures.- Models for reasoning with multitype uncertainty in expert systems.- A hybrid belief system for doubtful agents.- How to reason with uncertain knowledge.- Computation and uncertainty in regulated synergetic machines.- Inductive learning from incomplete and imprecise examples.- Some algorithms for evaluating fuzzy relational queries.- Time and incompleteness in a deductive database.- An approach to the linguistic summarization of data.- Management of uncertainty in the attachment problem in natural language processing.- A topological approach to some cluster methods.- A fuzzy knowledge-based system for biomedical image interpretation.- Management of caotic systems with the model for the regulation of agonistic antagonistic couples.- Fuzzy multicriteria techniques: An application to transport planning.- Fuzzy logic approach to modelling in ecosystem research.- An application of fuzzy multi-criteria decision making for topological design of large networks.- A distance measure for decision making in uncertain domains.- Decisions and lack of precision in crop management: The role of processing both objects and procedures through semantic networks.- A neural network expert system with confidence measurements.- Dealing with uncertainty in a distributed expert system architecture.- The combinatorial neural network: A connectionist model for knowledge based systems.- A medical decision aid based on a neural network model.- A fuzzy neuron based upon maximum entropy ordered weighted averaging.