A knowledge acquisition framework in trace-based reasoning for valuing knowledge
Other Title(s)
نظام استقصاء المعرفة مستند على الاستنتاج التتبعي لتقييم المعرفة
Dissertant
Thesis advisor
al-Shammari, Husayn Hadi Uwayyid
Comitee Members
Aqil, Misbah J.
Abu Samahah, Ala M.
University
Middle East University
Faculty
Faculty of Information Technology
Department
Computer Science Department
University Country
Jordan
Degree
Master
Degree Date
2012
English Abstract
The purpose of this thesis is to build A Knowledge Acquisition Framework in Trace-Based Reasoning for Valuing Knowledge.
The knowledge Acquisition Framework consisting of context information retrieval from proposed algorithm in the first stage, then an adaptive neuro-fuzzy model for the second stage, which can be trained to detect the value of knowledge used.
The training has been based on gathered surveyed data.
After training the model with proper data, a clear target-oriented towards the best usage of knowledge will be available.
Final stage will be implicitly processed via a back propagation feature exists in the neuro-fuzzy model mentioned above.
Trace Based Reasoning is used in this framework instead of Case Based Reasoning which had been used for solving problems previously, due to the problem of lacking to context information in Case Based Reasoning .In this study six models have been developed for the second stage with different types of input/output membership functions and trained an input array.
The models are compared based on their ability to train with lowest error values.
The Gaussian member function input with either constant or linear Sugeno output member function was the best choice for the proposed framework to be adopted in its second stage which is Task Analysis Module.
This framework can be utilized in firms, societies or even in individuals’ life events.
Main Subjects
Information Technology and Computer Science
No. of Pages
76
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review and related studies.
Chapter Three : Valuing knowledge mnagement.
Chapter Four : Knowledge acquisition framework design and implementations.
Chapter Five : Experimental study.
Chapter Seven : Conclusion and future work.
References.
American Psychological Association (APA)
Khattab, Darin Sayyid. (2012). A knowledge acquisition framework in trace-based reasoning for valuing knowledge. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-693823
Modern Language Association (MLA)
Khattab, Darin Sayyid. A knowledge acquisition framework in trace-based reasoning for valuing knowledge. (Master's theses Theses and Dissertations Master). Middle East University. (2012).
https://search.emarefa.net/detail/BIM-693823
American Medical Association (AMA)
Khattab, Darin Sayyid. (2012). A knowledge acquisition framework in trace-based reasoning for valuing knowledge. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-693823
Language
English
Data Type
Arab Theses
Record ID
BIM-693823
