2016 - Fellow of the American Association for the Advancement of Science (AAAS)
2008 - ACM Distinguished Member
1997 - IEEE Fellow For contributions to database and data modeling theory.
Frederick E. Petry mainly investigates Data mining, Fuzzy logic, Artificial intelligence, Relational database and Fuzzy set. In the field of Data mining, his study on Database design overlaps with subjects such as Conflation. His Fuzzy logic research incorporates elements of Algorithm, Data model and Control theory.
His study looks at the relationship between Relational database and topics such as Theoretical computer science, which overlap with Query language, Relational algebra, Truth function and Ranking. His Fuzzy set research includes elements of Vagueness and Point. His work carried out in the field of Relational model brings together such families of science as Dominance-based rough set approach, Rough set and Conjunctive query.
His primary areas of investigation include Data mining, Fuzzy logic, Artificial intelligence, Fuzzy set and Information retrieval. His Data mining research is multidisciplinary, incorporating perspectives in Fuzzy set operations and Spatial analysis. His Fuzzy logic study combines topics from a wide range of disciplines, such as Theoretical computer science, Set and Data model.
His Cluster analysis study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Generalization, bridging the gap between disciplines. His Information retrieval research integrates issues from Knowledge extraction, Database and Relevance feedback. His Relation research extends to Relational database, which is thematically connected.
Frederick E. Petry mostly deals with Data mining, Artificial intelligence, Fuzzy logic, Probability distribution and Probabilistic logic. His study in Data mining is interdisciplinary in nature, drawing from both Fuzzy set operations, Measure and Geospatial analysis. Frederick E. Petry has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
His research integrates issues of Possibility theory, Possibility distribution, Range, Entropy and Process in his study of Probability distribution. Frederick E. Petry has included themes like Information theory, Functional dependency, Relational database and Information system design in his Rough set study. His primary area of study in Relational database is in the field of Relational model.
His primary scientific interests are in Data mining, Probability distribution, Probabilistic logic, Artificial intelligence and Choquet integral. The concepts of his Data mining study are interwoven with issues in Multi-source, Geospatial analysis, Measure, Jaccard index and Object. His studies deal with areas such as Possibility theory, Entropy and Possibility distribution as well as Probability distribution.
Frederick E. Petry works mostly in the field of Artificial intelligence, limiting it down to concerns involving Pattern recognition and, occasionally, Random forest. His Choquet integral study necessitates a more in-depth grasp of Fuzzy logic. Frederick E. Petry specializes in Fuzzy logic, namely Fuzzy measure theory.
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Principles and Applications
Frederick E. Petry.
A fuzzy representation of data for relational databases
Billy P Buckles;Frederick E Petry.
Fuzzy Sets and Systems (1982)
Fuzzy Databases: Principles and Applications
Fred Petry;Patrick Bosc.
Bill P. Buckles;Frederick Petry.
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Theresa Beaubouef;Frederick E. Petry;Gurdial Arora.
Information Sciences (1998)
A Rule-based Approach for the Conflation of Attributed Vector Data
Maria A. Cobb;Miyi J. Chung;Harold Foley;Frederick E. Petry.
A variable-length genetic algorithm for clustering and classification
R. Srikanth;R. George;N. Warsi;D. Prabhu.
Pattern Recognition Letters (1995)
Scene recognition using genetic algorithms with semantic nets
C. A. Ankenbrandt;B. P. Buckles;F. E. Petry.
Pattern Recognition Letters (1990)
Fuzzy Modeling with Spatial Information for Geographic Problems
Frederick E. Petry;Vincent B. Robinson;Maria A. Cobb.
Extending the fuzzy database with fuzzy numbers
Billy P. Buckles;Frederick E. Petry.
Information Sciences (1984)
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