College of Computer Science and Mathematics

Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of Statistics and Informatics Department entitled: “Fuzzy Analysis with Application”

Diploma thesis by   : Rafal talal 

supervised by: Dr. Alla abd alsttar Dawood Hamoodat

 This thesis includes Discriminant analysis is a method for classifying a term into one of the groups, relying on variables of statistical significance in the classification process, as the term is classified into the correct community through a set of variables.

The study addressed Sometimes the data is non-linear or not normally distributed or unstable, so the use of fuzzy logic is successful because it is not necessary for the data to be normally distributed or stable. Through fuzzy theory, models are found to solve problems that cannot be analyzed using purely mathematical methods.

The study aims The thesis aims to compare the traditional discriminant analysis (LDA) and the fuzzy discriminant analysis (LDF) methods for the purpose of smoothing the data and distinguishing between different categories with high accuracy and providing accurate classifications of observations.

The discussion committee consists of

(Chairman): Dr. Heyam abd al-majeed hayawi

(member):Dr. Zeina mudhar yehya

(member and supervisor): Dr. Alla abd alsttar Dawood Hamoodat