Fuzzy expert system for electric energy consumed prediction in Arab Gulf countries
Other Title(s)
استخدام نظام خبير مضبب لتحديد توقعات الطلب على الطاقة الكهربائية في دول الخليج العربي
Joint Authors
Jafar, Iqbal Jasim
Umran, Khulud Musa
Source
Issue
Vol. 26, Issue 16 (30 Jun. 2009), pp.235-262, 28 p.
Publisher
University of Basrah Basrah and Arab Gulf Studies Center
Publication Date
2009-06-30
Country of Publication
Iraq
No. of Pages
28
Main Subjects
Topics
Abstract AR
يقدم البحث دراسة حول استخدام المنطق المضبب مع الأنظمة الخبيرة التقليدية لتصميم نظام خبير مضبب لتحديد توقعات الطلب على الطاقة الكهربائية في دول الخليج العربي وفق بعض المؤشرات الاقتصادية مثل إنتاج الطاقة الكهربائية و عدد السكان.
تستعرض هذه الدراسة مفهوم نظرية المنطق المضبب و استخداماتها في الأنظمة الخبيرة، كما تستعرض نموذج (Mamdani) الذي استخدم في النظام المقترح.
و قد تم مقارنة النظام مع نتائج الطريقة الرياضية التقليدية التي يستخدمها الاقتصاديون عادة و قد أعطت نتائج دقيقة و متقاربة مما يعني أن النظام طريقة جديدة و كفوءة يمكن اعتمادها في الأنظمة الخبيرة الاقتصادية.
Abstract EN
Information is one of the most important resources that are introduced by an organization for its customers ; at the same time the quality of information represent a competitive advantage which help the organization to satisfy its customers and dominates its current marketing share and expand it in future, this study aims at determining information quality level which is introduced by( Iraqi Airlines Company) for its customer about departure and arrival appointments,and measuring its statistical effect in customers satisfaction level, this study is based on a main hypothesis which is (there is significant relationship between information quality and customer satisfaction ), the study ends with some conclusions like (the weak quality level of (timeliness, content, and figure are dimensions of information.
There is significant relationship between information quality and customer satisfaction.
American Psychological Association (APA)
Jafar, Iqbal Jasim& Umran, Khulud Musa. 2009. Fuzzy expert system for electric energy consumed prediction in Arab Gulf countries. Gulf Economist،Vol. 26, no. 16, pp.235-262.
https://search.emarefa.net/detail/BIM-110741
Modern Language Association (MLA)
Jafar, Iqbal Jasim& Umran, Khulud Musa. Fuzzy expert system for electric energy consumed prediction in Arab Gulf countries. Gulf Economist Vol. 26, no. 16 (2009), pp.235-262.
https://search.emarefa.net/detail/BIM-110741
American Medical Association (AMA)
Jafar, Iqbal Jasim& Umran, Khulud Musa. Fuzzy expert system for electric energy consumed prediction in Arab Gulf countries. Gulf Economist. 2009. Vol. 26, no. 16, pp.235-262.
https://search.emarefa.net/detail/BIM-110741
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 161-162
Record ID
BIM-110741