Abstract | ||
---|---|---|
Most of the applications that are currently being developed use object-oriented programming technology, as is the case of those applications built with the Java or C# languages. Data management has not kept out of this trend, and object-oriented and object-relational database management systems have arisen as a result. Soft-computing applications need to manage imperfect data and Fuzzy Sets Theory has proven to be a good choice for accomplishing the task of imperfect data management. In this article we present a framework that allows the programmers of soft-computing applications to deal with fuzzy objects in a transparent and intuitive way. This framework can be used to develop an object-oriented code in those systems that conform with current hip object-oriented languages, so that imperfect information can be managed. (c) 2005 Wiley Periodicals, Inc. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1002/int.20114 | INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS |
Field | DocType | Volume |
Imperfect,Software engineering,Object-oriented programming,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Soft computing,Java,Data management,Complete information,Machine learning | Journal | 20 |
Issue | ISSN | Citations |
11 | 0884-8173 | 7 |
PageRank | References | Authors |
0.49 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fernando Berzal Galiano | 1 | 397 | 39.14 |
Nicolás Marín | 2 | 570 | 41.16 |
Olga Pons | 3 | 274 | 21.67 |
María Amparo Vila Miranda | 4 | 1182 | 93.57 |