Complexity analysis of input rules for genetic - fuzzy data mining / Sameh Hassanien Basha ; Supervised Laila Fahmey Abdelaal , Amr Ahmed Anwar Badr

By:

Sameh Hassanien Basha

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Cairo : Sameh Hassanien Basha , 2011Description: 158 P. : charts ; 25cmOther title:

تحليل مستوى تعقيد قواعد الادخال للتنقيب عن البيانات باستخدام الطرق الجينية الغائمة [Added title page title]

Subject(s):

Available additional physical forms:

Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics Summary: The problem of rule generation is of profound importance . Genetic - fuzzy methods for rule generation for fuzzy systems have been used where genetic algorithms were used for optimizing the number and parameters of rules . Traditional methods using genetic algorithms namely michigan and pittsburgh approaches were investigated

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.12.17.M.Sc.2011.Sa.C (Browse shelf(Opens below))		Not for loan		01010110055916000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.12.17.M.Sc.2011.Sa.C (Browse shelf(Opens below))	55916.CD	Not for loan		01020110055916000

Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics

The problem of rule generation is of profound importance . Genetic - fuzzy methods for rule generation for fuzzy systems have been used where genetic algorithms were used for optimizing the number and parameters of rules . Traditional methods using genetic algorithms namely michigan and pittsburgh approaches were investigated

Issued also as CD

There are no comments on this title.

to post a comment.