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العنوان
Statistical Analysis Of Incomplete Information Systems \
المؤلف
Mohamed, Hossam Abd El-Maksoud Nabwey.
هيئة الاعداد
باحث / Hossam Abd Elmaksoud Nabwey Mohamed
مشرف / El-Houssainy Abd El-Bar Rady
مشرف / Abd El-Monem Mohamed Kozae
مشرف / Ahmed Mohamed Nour Abady
الموضوع
Models, Statistical. Management Information Systems.
تاريخ النشر
2007.
عدد الصفحات
128 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة
تاريخ الإجازة
1/1/2007
مكان الإجازة
جامعة المنوفية - كلية الهندسة - BASIC ENGINEERING SCIENCES
الفهرس
Only 14 pages are availabe for public view

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Abstract

The industrial revolution brought forward a whole new organization of modern society. Production was moved from the homes of ordinary people to factories, where machines started taking over the jobs of humans. Controlling the operation of a factory, whether a textile factory or nuclear power plant, has posed many a challenging problem to engineers.
In order to control modern process plants, hundreds of variables are monitored during process operation. These variables interact in complicated ways. An understanding of how these variables interact is necessary in order to control process opertion and distinguish abnormal situations from normal operation. The identification of critical situations is mainly done by human operators who have developed heuristic knowledge about situation classification. Heuristic knowledge is knowledge in the form of rules-of-thumb. Rule induction is an important tasks to extract knowledge from data. In rule induction, the representation of knowledge is defined as IF-THEN rules which are easily undestandable and applicable by problem-domain experts.