Accuracy Improvements in Linguistic Fuzzy Modeling

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Casillas, Jorge (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Cordón, O. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Herrera Triguero, Francisco (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Magdalena, Luis (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Studies in Fuzziness and Soft Computing, 129
• Θέματα: Business mathematics.; Applied mathematics.; Engineering mathematics.; Natural language processing (Computer science).; Artificial intelligence.; Computational complexity.; Economic theory.; Business Mathematics.; Mathematical and Computational Engineering.; Natural Language Processing (NLP).; Artificial Intelligence.; Complexity.; Economic Theory/Quantitative Economics/Mathematical Methods.

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas i...