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Extended hamming distance method for measuring the perfomance of academic staff

Master of Science in Engineering Mathematics

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Bibliographic Details
Main Author: Rasyida, Md. Saad
Other Authors: Muhammad Zaini, Ahmad, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2015
Subjects:
Fuzzy algorithms
Employees > Rating of
Hamming
Hamming distance
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78195
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spelling my.unimap-781952023-03-23T03:09:13Z Extended hamming distance method for measuring the perfomance of academic staff Rasyida, Md. Saad Muhammad Zaini, Ahmad, Dr. Fuzzy algorithms Employees -- Rating of Hamming Hamming distance Master of Science in Engineering Mathematics This research presents an extended Hamming distance method in measuring the performance of the academic staff. Generally, performance appraisal is responsible in determining the employee works, in which involving in making personnel decisions and employee development. As this process can be used to identify the performance of the employee, a proper method has to be applied in selecting the best employee performance. Multi criteria decision making (MCDM) method is one of the solution for this problem. In this research one of the existing MCDM methods which is a Hamming distance method is extended. Inspired by the Canós algorithm, the extension of the existing algorithm is done. The use of subjective weight and fuzzy linguistic variables are introduced in the newly extended method. The use of criteria weight is essential in evaluating the performance of the alternative. In addition, Shannon’s entropy concept is also applied to determine the most important criteria. Meanwhile, the use of fuzzy linguistic variables will help in dealing with subjective assessment. The extended Hamming distance method is presented in a well-built framework which also depicted in this research. A study case in one of the institute in Universiti Malaysia Perlis, which is Institute of Engineering Mathematics in determining the best academic staff for three years, which are 2010, 2011 and 2012 is presented to validate the extended method. By utilizing the extended method, the most important criteria, the ranking of the academic staff and problems regarding the ranking process for three years are identified. The comparison between the final results of the extended method and TOPSIS method is also done. Based on the final results obtained, it can be concluded that the results for the criteria weight and ranking of the academic staff for the years 2010 and 2011 are different than the year 2012. For the years 2010 and 2011, A22 is declared as the best academic staff. Meanwhile, for the year 2012, the best academic staff is belong to A3. C11 is declared as the most important criteria for the years 2010 and 2011. However, for the year 2012, C6 is declared as the most important criteria. The similarity in the final results between the extended method and TOPSIS method is also identified. Through the application of the extended method it is hope to ease the difficulty in decision making process especially in determining the best performance of the academic staff. 2015 2023-03-23T03:06:56Z 2023-03-23T03:06:56Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78195 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) Institute of Engineering Mathematics
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Fuzzy algorithms
Employees -- Rating of
Hamming
Hamming distance
spellingShingle Fuzzy algorithms
Employees -- Rating of
Hamming
Hamming distance
Rasyida, Md. Saad
Extended hamming distance method for measuring the perfomance of academic staff
description Master of Science in Engineering Mathematics
author2 Muhammad Zaini, Ahmad, Dr.
author_facet Muhammad Zaini, Ahmad, Dr.
Rasyida, Md. Saad
format Thesis
author Rasyida, Md. Saad
author_sort Rasyida, Md. Saad
title Extended hamming distance method for measuring the perfomance of academic staff
title_short Extended hamming distance method for measuring the perfomance of academic staff
title_full Extended hamming distance method for measuring the perfomance of academic staff
title_fullStr Extended hamming distance method for measuring the perfomance of academic staff
title_full_unstemmed Extended hamming distance method for measuring the perfomance of academic staff
title_sort extended hamming distance method for measuring the perfomance of academic staff
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78195
_version_ 1772813093736284160
score 13.214268

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