A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa
A large nimiber of techniques, such as Neurofuzzy algorithm methods are used to produce an efficient and effective system. A key stage in the system process is the selection of features. This paper discuss about a decision support system using Neurofuzzy algorithm methods in selecting lecturer�...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2007
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/1380/2/1380.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-uitm-ir.1380 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-uitm-ir.13802023-01-31T04:01:21Z A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa 2007 Musa, Asmaa Electronic Computers. Computer Science A large nimiber of techniques, such as Neurofuzzy algorithm methods are used to produce an efficient and effective system. A key stage in the system process is the selection of features. This paper discuss about a decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for Bachelor in Multimedia. The prototype of this project is design based on Neurofuzzy algorithm method. Decision support system is a system for making decisions. A decision is a choice between alternatives based on estimates of the values of those alternatives. Supporting a decision means supporting this choice by supporting the estimation, the evaluation and the comparison and choice Neurofuzzy controller works similar to a conventional system; it accepts an input value, performs some calculations, and generates an output value. There are three steps in designing Neurofuzzy algorithm method. The first step is to understand the physical system, its control requirements and identifies the controller's inputs and outputs. Secondly, to define the ranges and labels for the membership functions and describe the controller's operation using fuzzy rules. Finally, to debug and tune the controller by modifying membership functions, or rules, whenever appropriate Faculty of Computer and Mathematical Sciences 2007 Thesis https://ir.uitm.edu.my/id/eprint/1380/ https://ir.uitm.edu.my/id/eprint/1380/2/1380.pdf text en public Universiti Teknologi MARA Perpustakaan Tun Abdul Razak |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| topic |
Electronic Computers Computer Science |
| spellingShingle |
Electronic Computers Computer Science Musa, Asmaa A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa |
| description |
A large nimiber of techniques, such as Neurofuzzy algorithm methods are used to
produce an efficient and effective system. A key stage in the system process is the
selection of features. This paper discuss about a decision support system using
Neurofuzzy algorithm methods in selecting lecturer's teaching work load for Bachelor in
Multimedia. The prototype of this project is design based on Neurofuzzy algorithm
method. Decision support system is a system for making decisions. A decision is a choice
between alternatives based on estimates of the values of those alternatives. Supporting a
decision means supporting this choice by supporting the estimation, the evaluation and
the comparison and choice Neurofuzzy controller works similar to a conventional system;
it accepts an input value, performs some calculations, and generates an output value.
There are three steps in designing Neurofuzzy algorithm method. The first step is to
understand the physical system, its control requirements and identifies the controller's
inputs and outputs. Secondly, to define the ranges and labels for the membership
functions and describe the controller's operation using fuzzy rules. Finally, to debug and
tune the controller by modifying membership functions, or rules, whenever appropriate |
| format |
Thesis |
| author |
Musa, Asmaa |
| author_facet |
Musa, Asmaa |
| author_sort |
Musa, Asmaa |
| title |
A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa |
| title_short |
A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa |
| title_full |
A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa |
| title_fullStr |
A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa |
| title_full_unstemmed |
A decision support system using Neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / Asmaa Musa |
| title_sort |
decision support system using neurofuzzy algorithm methods in selecting lecturer's teaching work load for bachelor in multimedia / asmaa musa |
| granting_institution |
Universiti Teknologi MARA |
| granting_department |
Perpustakaan Tun Abdul Razak |
| publishDate |
2007 |
| url |
https://ir.uitm.edu.my/id/eprint/1380/2/1380.pdf |
| _version_ |
1783733007930097664 |