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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 511.131 AZA-A (Browse shelf(Opens below)) | Available | 37911 |
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| 511.1 NIC-O Discrete mathematics / | 511.1 RAM-B Discrete mathematics / | 511.1 SAN-S Discrete mathematics : | 511.131 AZA-A Fuzzy systems / | 511.2018 CUT-A Trachtenberg speed system of basic mathematics translated by | 511.3 CAU-R Logic, sets and recursion / | 511.3 CHE-E Beyond infinity : |
Since the idea of the fuzzy set was proposed in 1965, many developments have
occurred in this area. Applications have been made in such diverse areas as medicine,
engineering, management, behavioral science, just to mention some. The application of the
fuzzy sets involves different technologies, such as fuzzy clustering on image processing,
classification, identification and fault detection, fuzzy controllers to map expert knowledge
into control systems, fuzzy modeling combining expert knowledge, fuzzy optimization to
solve design problems. Fuzzy systems are used in the area of artificial intelligence as a way
to represent knowledge. This representation belongs to the paradigm of behavioral
representation in opposition to the structural representation (neural networks). The
foundation of this paradigm is that intelligent behavior can be obtained by the use of
structures that not necessarily resemble the human brain. A very interesting characteristic of
the fuzzy systems is their capability to handle in the same framework numeric and linguistic
information. This characteristic made these systems very useful to handle expert control tasks.
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