Extended hamming distance method for measuring the perfomance of academic staff

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...

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Format:	Thesis
Language:	English
Subjects:	Fuzzy algorithms Employees > Rating of Hamming Hamming distance
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/4/Rasyida%20Md%20Saad.pdf
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spelling	my-unimap-781952023-03-23T03:09:13Z Extended hamming distance method for measuring the perfomance of academic staff Muhammad Zaini, Ahmad, Dr. 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. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78195 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/1/Page%201-24.pdf 554fa6d268672b4b4e4cef7e48f270b8 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/2/Full%20text.pdf dc0a25a695f05b2a4fa4adc090aa5595 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/4/Rasyida%20Md%20Saad.pdf c53a661dc787f0b6fc7b3571c6c01fb0 Universiti Malaysia Perlis (UniMAP) Fuzzy algorithms Employees -- Rating of Hamming Hamming distance Institute of Engineering Mathematics
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Muhammad Zaini, Ahmad, Dr.
topic	Fuzzy algorithms Employees -- Rating of Hamming Hamming distance
spellingShingle	Fuzzy algorithms Employees -- Rating of Hamming Hamming distance Extended hamming distance method for measuring the perfomance of academic staff
description	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.
format	Thesis
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
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	Institute of Engineering Mathematics
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/78195/4/Rasyida%20Md%20Saad.pdf
_version_	1776104266480484352

Extended hamming distance method for measuring the perfomance of academic staff

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