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NETWORK DATA MODELS FOR REPRESENTATION OF UNCERTAINTY

FUZZY SETS AND systems 1990年第2期38卷 171-190页

作者： BUCKLES, BP PETRY, FE PILLAI, J Center for Intelligent and Knowledge Based Systems Department of Computer Science Tulane University New Orleans LA 70118 U.S.A.

Network data models have not received the level of attention accorded relational models in fuzzy database research. The lack of formality in the description of form and behavior of network models has served to inhibit deeper probing. Here, a formal definition of the record interrelationships is offered together with a concise logical description of the constraints enforced by DBTG network databases. Three approaches for incorporating imprecision via fuzzy set theory are given together with original nonprocedural query languages. It is found that the greatest barrier to straightforward incorporation of semantics dealing with imprecision is the functionality constraint — the condition that a record may have but a single owner.

关键词： Fuzzy databases network databases DBTG sets query languages set theoretic queries calculus-based queries

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intelligent　Information　Management　and　knowledge　Discovery　in　Large　Numeric　and　Scientific　Databases

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Journal of systems Engineering and Electronics 1996年第2期7卷 73-86页

作者： Patrick Perrin Frederick E. Petry & William Thomason(center for intelligent and knowledge-based systems)(Computer Science Department, Tulane University, New Orleans LA) Center for Intelligent and Knowledge-Based Systems Computer Science Department Tulane University New Orleans LA

The present article outlines progress made in designing an intelligent information system for automatic management and knowledge discovery in large numeric and scientific databases, with a validating application to the CAST-NEONS environmental databases used for ocean modeling and prediction. We describe a discovery-learning process (Automatic Data Analysis System) which combines the features of two machine learning techniques to generate sets of production rules that efficiently describe the observational raw data contained in the database. Data clustering allows the system to classify the raw data into meaningful conceptual clusters, which the system learns by induction to build decision trees, from which are automatically deduced the production rules.

关键词： knowledge discovery in databases Machine learning Decision tree inducers

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SCENE RECOGNITION USING GENETIC ALGORITHMS WITH SEMANTIC NETS

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PATTERN RECOGNITION LETTERS 1990年第4期11卷 285-293页

作者： ANKENBRANDT, CA BUCKLES, BP PETRY, FE Center for Intelligent and Knowledge-based Systems Department of Computer Science 301 Stanley Thomas Hall Tulane University New Orleans LA 70118 USA

A model for genetic algorithms with semantic nets is derived for which the relationships between concepts is depicted as a semantic net. An organism represents the manner in which objects in a scene are attached to concepts in the net. Predicates between object pairs are continuous valued truth functions in the form of an inverse exponential function (e − β | x | ). 1 : n relationships are combined via the fuzzy OR (Max[…]). Finally, predicates between pairs of concepts are resolved by taking the average of the combined predicate values of the objects attached to the concept at the tail of the arc representing the predicate in the semantic net. The method is illustrated by applying it to the identification of oceanic features in the North Atlantic.

关键词： feature labelling fitness functions Genetic algorithms semantic nets

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AN OBJECT-ORIENTED DATA MODEL TO REPRESENT UNCERTAINTY IN COUPLED ARTIFICIAL-INTELLIGENCE - DATABASE-systems

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IJCAI-91 JOINT WORKSHOP : INTEGRATING ARTIFICIAL INTELLIGENCE AND DATABASES / intelligent AND COOPERATING INFORMATION systems

作者： GEORGE, R BUCKLES, BP PETRY, FE Center for intelligent and knowledge-based systems Department of computer science Tulane university New Orleans United States

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An update on genomic CDS, a complex ontology for pharmacogenomics and clinical decision support 3

An update on genomic CDS, a complex ontology for pharmacogen...

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3rd International Workshop on OWL Reasoner Evaluation, ORE 2014 - Co-located with the Vienna Summer of Logic, VSL 2014

作者： Minarro-Giménez, José Antonio Samwald, Matthias Section for Medical Expert and Knowledge-Based Systems Center for Medical Statistics Informatics and Intelligent Systems Medical University of Vienna Vienna Austria

Genetic data can be used to optimize drug treatment based on the ge-netic profiles of individual patients, thereby reducing adverse drug events and improving the efficacy of pharmacotherapy. The Genomic Clinical Decision Support (Genomic CDS) ontology utilizes Web Ontology Language 2 (OWL 2) reasoning for this task. The ontology serves a clear-cut medical use case that requires challenging OWL 2 DL reasoning. We present an update of the Ge-nomic CDS ontology which covers a significantly larger number of clinical de-cision support rules and where inconsistencies presented in previous versions of the ontology have been removed.

关键词： Ontology

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Integrated systems: Data Driven Engineering 1

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1000年

作者： Mohammad-Reza Alam Madjid Fathi

ISBN: (数字)9783031536526

ISBN: (纸本)9783031536519;9783031536540

The term "integrated system" denotes the seamless collaboration of numerous (potentially unrelated) subsystems to achieve a specific goal. It involves combining various components—hardware, software, networks, and workflows—into a unified system that operates cohesively. Widely utilized across scientific and technological domains, integrated systems aim to elevate coherence, efficiency, and overall functionality quality. The Integrated System Design and Technology (ISDT) conference convenes a distinguished group of leading scientists with diverse backgrounds and notable achievements in technological innovation with the goal of fostering cross-disciplinary research and innovation. This gathering serves as an enabler for addressing major scientific and societal challenges that necessitate integrated systems, emphasizing the importance of collaboration in overcoming complex issues. The book at hand includes peer-reviewed research results that were presented and critically discussed duringthe ISDT 2023 which were held in Antalya, Turkey, in May 2023.

关键词： Engineering Design Computational Intelligence

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Decision support systems in a medical environment and its limitations

Decision support systems in a medical environment and its li...

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2010 International Conference on Artificial Intelligence, ICAI 2010

作者： Schuh, Ch.J. Center for Medical Statistics Informatics and Intelligent Systems Medical Expert and Knowledge-Based Systems Medical University of Vienna Spitalgasse 23 A-1090 Vienna Austria

ISBN: (纸本)9781601321480

The envisioned role of computer programs in health care is perhaps the most important. Everything we know today in medicine might not have been possible without the valuable contribution of computers. Uncertainty is the central, critical fact about medical reasoning. Particularly in an intensive care unit (ICU), where decisions must often be made quickly, or that physicians will follow it rather than openly or surreptitiously limiting care on their own. The provisioning of Decision Support systems (DSS) in an ICU would enable the discovery of patterns in health data which might be important for the fight against incorrect diagnosis. Many of this intelligent DSS are based on the fuzzy set theory which describes complex systems mathematical model in terms of linguistic rules. Fuzzy set theory and fuzzy logic, founded in 1965 by Lotfi A. Zadeh, are a highly suitable and applicable basis for developing such systems in medicine. Over the past three decades experience has shown that the expectations were not always fulfilled in this field. This paper addresses the capabilities as well as limitations of DSS on three concrete applications. All systems established as real-time applications at an ICU and have reached the state of extensive clinical integration and testing at the Vienna general hospital.

关键词： Decision making

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Processing noisy structured textual data using a fuzzy matching approach: Application to postal address errors

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Soft Computing 2000年第4期4卷 195-205页

作者： Buckley, J.P. Buckles, B.P. Petry, F.E. University of Dayton Computer Science Department 300 College Park Drive DaytonOH45469-2160 United States Department of Electrical Engineering and Computer Science Center for Intelligent and Knowledge-based Systems New OrleansLA70118 United States

A multiparadigm approach is developed and demonstrated for exploiting knowledge about structure for the purpose of extracting information from noisy textual data. A motivating example of a potential application would be an address encoding system for a delivery service such as UPS, Federal Express or the United States Post Office. This approach combines aspects of database organization and clustering of records, fuzzy parsing, fuzzy retrieval, an aggregation algebra, and measures of both performance and accuracy. Fuzzy retrieval, in the form of set and fuzzy operators, is accomplished by considering each symbol of the input text to be imperfect and retrieving non-exact matching records from the database that hold for a particular threshold value. The set of low-level database operators constrains the cardinality and accuracy of retrievals. A hierarchical method of clustering the database is defined, whereby the records are partitioned in a manner such that similar records are in the same cluster. This clustering strategy is guaranteed to be mutually exclusive and a complete cover of the data records. Associated with these clusters is an algebra that combines clusters of data into one window of ranked data. A set of fuzzy measures is defined that are used to aggregate and rank sets of records. © Springer-Verlag 2000.

关键词： Algebra

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CAD/CAM integration via skeleton-based modeling

CAD/CAM integration via skeleton-based modeling

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IEEE International Conference on systems, Man, and Cybernetics, SMC 1992

作者： Lee, Ta-Chih Chu, Chong-Nam Kashyap, Rangasami L. Engineering Research Center for Intelligent Manufacturing Systems Knowledge-Based Systems Lab. School of Electrical Engineering Purdue University West LafayetteIN47907 United States Engineering Research Center for Intelligent Manufacturing Systems School of Industrial Engineering Purdue University West LafayetteIN47907 United States

ISBN: (纸本)0780307208

In this paper, we present an efficient parallel thinning algorithm for extracting both the medial surface and the medial axis (skeleton) of a three-dimensional (3-D) object constructed using a geometric solid modeler. First, the object is converted into its voxel model using a ray tracing and a filling scheme. A new Euler table is derived to ensure the invariance of Euler characteristic. An octree data structure of 3×3×3 lattice points Is constructed to examine the local connectivity. By preserving the Euler characteristic and the connectivity, our algorithm drastically reduces noisy branches in the skeleton. Pre- and postprocessors are used to remove additional noise spurs. A noise-free skeleton model is constructed. The constructed model has useful applications in linking CAD and CAM such as in casting and forging defect analysis. © 1992 IEEE.

关键词： Computer aided design

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Regular language induction with genetic programming

Regular language induction with genetic programming

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IEEE International Conference on Evolutionary Computation

作者： B.D. Dunay F.E. Petry B.P. Buckles Center for Intelligent and Knowledge-Based Systems New Orleans LA USA

In this research, inductive inference is done with an informant on the class of regular languages. The approach is to evolve formal language accepters which are consistent with a set of sample strings from the language, and a set of sample strings known not to be in the language. Deterministic finite automata (DFA) were chosen as the formal language accepters to alleviate the computational difficulties of nondeterministic constructs such as rewrite grammars. Genetic programming (GP) offers two significant improvements for regular language induction over genetic algorithms. First, GP allows the size of the solution (the DFA) to be determined at run time in response to population pressure. Second, GP's potential for assuring correct dependencies in complex individuals can be exploited to assure that all states in a DFA are reachable from the start state. The contribution of this research is the effective translation of DFAs to S-expressions, the application of renumbering, and of editing to the problem of language induction. DFAs or transition tables form the basis of many problems. By using the techniques found in this paper, many of these problems can be directly translated into the domain of genetic programming.< >

关键词： Genetic programming Formal languages Doped fiber amplifiers Binary trees Automata intelligent systems knowledge based systems Gold

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