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A fuzzy object‐oriented data model for managing vague and uncertain information
Author(s) -
Bordogna Gloria,
Pasi Gabriella,
Lucarella Dario
Publication year - 1999
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/(sici)1098-111x(199907)14:7<623::aid-int1>3.0.co;2-g
Subject(s) - computer science , extension (predicate logic) , graph database , data model (gis) , graph , fuzzy logic , representation (politics) , object (grammar) , semantics (computer science) , theoretical computer science , data mining , artificial intelligence , information retrieval , programming language , politics , political science , law
In this paper, a fuzzy Object‐Oriented Data model (FOOD) is defined based on the extension of a Graph‐based Object model (D. Lucarella and A. Zanzi “A graph‐oriented data model,” in Database and Expert Systems Applications, R. Wagner and H. Toma, Eds., Springer‐Verlag, Berlin, 1996, pp. 197–206), in order to manage both crisp and imperfect information. These capabilities are requisites of many current applications dealing with data of different nature and with complex interrelationships. The model is based on a visual paradigm which supports both the representation of the data semantics and the direct browsing of the information. In the extended model both the database scheme and instances are represented as directed labeled graphs in which the fuzzy and uncertain information has its own representation. ©1999 John Wiley & Sons, Inc.