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1860797466509574144
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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2016-08-24 11:11:50
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Restricted Document
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12828
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UniSZA
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| internalnotes |
[1] Francis C. Anyim, Joy Oyinyechi Ekwoaba and Ideh Dumebi Anthony, The Role of Human Resource Planning in Recruitment and Selection Process, British Journal of Humanities and Social Sciences, 6 (2012), no. 2, 68-78. [2] Suhailan Safei, Fadhilah Ahmad, Syarifah Nurul Husna Syed Taha, Fatimah Ghazali, Engku Fadzli Engku Hasan, Automatic Text Interview Assessment Using IM Decision Support System, Journal of Theoretical and applied information technology, 38 (2012), no. 2, 183-190. [3] Hwang and Yoon, Multiple Objective Decision Making: Methods and Application, Berlin/Heidelberg/New-York: Springer Verlag, 1981. [4] Fadhilah Ahmad, M. Yazid M. Saman, Fatma Susilawati Mohamad, Zarina Mohamad, Wan Suryani Wan Awang, Group Decision Support System Based on Enhanced AHP for Tender Evaluation, International Journal of Digital Information and Wireless Communication, 4 (2014), no. 2, 248-257. http://dx.doi.org/10.17781/p001213 [5] Chen, C. T., Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment, Fuzzy Sets and Systems, 114 (2000), no. 1, 1-9. http://dx.doi.org/10.1016/s0165-0114(97)00377-1 [6] Elissa Nadia Madi and Abu Osman Md Tap, Fuzzy TOSIS Method in the Selection of Investment Boards by Incorporating Operational Risk, Proceeding of the world Congress on Engineering, 1 2011. [7] Farada Burstein and Clyde Holsapple, Handbook on Decision Support System 1: Basic Themes, International Handbook on Information System, 2008. http://dx.doi.org/10.1007/978-3-540-48713-5 [8] Faguo Zhou, Bingru Yang, Linna Li and Zhuo Chen, Overview of the New Types of Intelligent Decision Support System, The 3rd International Conference on innovative Computing Information and Control, 2008. http://dx.doi.org/10.1109/icicic.2008.412 [9] Qin Shen, Zhou Lei-shan and Yeu Yi-xiang, A web-based Distributed Group Decision Support System for Railway Contrruction Organization, 2nd International Asia Conference on Informatics in Control, Automation and Robotics, 2010. http://dx.doi.org/10.1109/car.2010.5456524 [10] Fadhilah Ahmad, A.Noraziah, Suhailan Safei, Azrul Amri Bharun Abidin, Ahmed N. Abdalla, Aznida Hayati Zakaria Mohamad, Development Issues of Web-based Decision Support System, Journal of Applied Sciences, 12 (2012), no. 19, 2059-2064. http://dx.doi.org/10.3923/jas.2012.2059.2064 [11] Pham Van Hai and Vatcharaporn Esichaikul, A Web-Based Decision Support System for the evaluation and Strategic Planning using ISO 9000 factors in Higher Education, VNU Journal of Science, Mathematics – Physics, 24 (2008), 197-208, [12] Noraziah Ahmad and Ahmed N. Abdalla, Smart Evaluation For job Vacancy Application System, The Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), 2009. http://dx.doi.org/10.1109/icadiwt.2009.5273974 [13] Fadhilah Ahmad, Suhailan Safei, Md Yazid Mohd Saman, and Hasni Hassan, Integrated Decision Support System Using Instant Message and Enhanced AHP for Human Resource Selection, The 1st International Symposium on computing in science (ISCSE), Kusadasi, Aydin, Turkey, June, 3-5, 2010. [14] Martin Aruldoss, T. Miranda Lakshmi and V. Prassanna Venkatesan, A Survey on Multi Criteria Decision Making Methods and its Application, American Journal of Information Systems, 1 (2013), no. 1, 13-43. [15] Umm-e-Habiba and Sohail Asghar, A survey on Multi-Criteria Decision Making Approaches, 2009 International Conference on Emerging Technologies (IEEE), 2009. http://dx.doi.org/10.1109/icet.2009.5353151 [16] James S. Dyer, Peter C. Fishburn, Ralph E. Steuer, Jyrki Wallenius and Stanley Zionts, Multiple Criteria Decision Making, Multi-attributes Utility Theory: The Next Ten Years, University of Melbourne, 2014. https://hr.unimelb.edu.au/advice/toolkits/recruitment/pd/selection-criteria Accessed on June 2014. [17] N. Jirapokakul, J. Chalidabhongse, and R. Chutivisarn, Facilitating Job Recruitment Process through Job Application Support System, Management of Innovation and Technology Conference, IEEE, 1 (2006), 111-115. http://dx.doi.org/10.1109/icmit.2006.262244 [18] L. A. Zadeh, Fuzzy Sets, Information and Control, 8 (1965), 338-353. http://dx.doi.org/10.1016/s0019-9958(65)90241-x [19] H. J. Zimmermann, Fuzzy Set Theory RWTH Aachen, Korneliusstr 2 (2010). [20] Zhongliang Yue, A Method for Group Decision-Making Based on Determing Weights of Decision Makers using TOPSIS, Journal of Applied Mathematical Modeling, 35 (2011), 1926-1936. http://dx.doi.org/10.1016/j.apm.2010.11.001 [21] Mehdi Amiri-Aref, Nikbakhs Javadian and Mohammad Kazemi, A New Fuzzy Positive and Negative Ideal Solution for Fuzzy TOPSIS, WSEAS Transaction on Circuit and Systems, 3 (2012), no. 11, 92-103. [22] Golam Kabir and M.Ahsan Akhtar Hasin, Comparative Analysis of TOPSIS and Fuzzy TOPSIS for the Evaluation of Travel Website Service Quality, International Journal for Quality Research, 3 (2012), no. 3, 169-185. [23] Soroush Saghafian and S.Reza Hejazi, Multi-Criteria Group Decision Making Using A modified Fuzzy TOPSIS Procedure, Proceeding of the International Conference on Computational Intelligence for Modeling, (CIMCAIAWTIC), 2005. http://dx.doi.org/10.1109/cimca.2005.1631471
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12828 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12828 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 96 96 norman 1420 770 30 30 2016-08-24 11:11:50 1420x770 7135-01-FH02-FIK-16-06426.jpg UniSZA Private Access Integrated decision support system for human resource selection using TOPSIS based models Applied Mathematical Sciences Among the responsibilities of Human Resource Department is selecting the right people for the available job. This task tends to be the most challenging due to necessity to make tough decisions under uncertainty. To minimize error occurrences and complexity of the selection process, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is adopted together with fuzzy TOPSIS and Fuzzy set theory to provide solutions to Multi-criteria decision making (MCDM) problems associated with human resource selection (HRS) process. The proposed framework of Integrated Decision Support System for Human Resource Selection using TOPSIS based models was constructed and presented in this paper. 9 129 Hikari Ltd. Hikari Ltd. 6403-6414 [1] Francis C. Anyim, Joy Oyinyechi Ekwoaba and Ideh Dumebi Anthony, The Role of Human Resource Planning in Recruitment and Selection Process, British Journal of Humanities and Social Sciences, 6 (2012), no. 2, 68-78. [2] Suhailan Safei, Fadhilah Ahmad, Syarifah Nurul Husna Syed Taha, Fatimah Ghazali, Engku Fadzli Engku Hasan, Automatic Text Interview Assessment Using IM Decision Support System, Journal of Theoretical and applied information technology, 38 (2012), no. 2, 183-190. [3] Hwang and Yoon, Multiple Objective Decision Making: Methods and Application, Berlin/Heidelberg/New-York: Springer Verlag, 1981. [4] Fadhilah Ahmad, M. Yazid M. Saman, Fatma Susilawati Mohamad, Zarina Mohamad, Wan Suryani Wan Awang, Group Decision Support System Based on Enhanced AHP for Tender Evaluation, International Journal of Digital Information and Wireless Communication, 4 (2014), no. 2, 248-257. http://dx.doi.org/10.17781/p001213 [5] Chen, C. T., Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment, Fuzzy Sets and Systems, 114 (2000), no. 1, 1-9. http://dx.doi.org/10.1016/s0165-0114(97)00377-1 [6] Elissa Nadia Madi and Abu Osman Md Tap, Fuzzy TOSIS Method in the Selection of Investment Boards by Incorporating Operational Risk, Proceeding of the world Congress on Engineering, 1 2011. [7] Farada Burstein and Clyde Holsapple, Handbook on Decision Support System 1: Basic Themes, International Handbook on Information System, 2008. http://dx.doi.org/10.1007/978-3-540-48713-5 [8] Faguo Zhou, Bingru Yang, Linna Li and Zhuo Chen, Overview of the New Types of Intelligent Decision Support System, The 3rd International Conference on innovative Computing Information and Control, 2008. http://dx.doi.org/10.1109/icicic.2008.412 [9] Qin Shen, Zhou Lei-shan and Yeu Yi-xiang, A web-based Distributed Group Decision Support System for Railway Contrruction Organization, 2nd International Asia Conference on Informatics in Control, Automation and Robotics, 2010. http://dx.doi.org/10.1109/car.2010.5456524 [10] Fadhilah Ahmad, A.Noraziah, Suhailan Safei, Azrul Amri Bharun Abidin, Ahmed N. Abdalla, Aznida Hayati Zakaria Mohamad, Development Issues of Web-based Decision Support System, Journal of Applied Sciences, 12 (2012), no. 19, 2059-2064. http://dx.doi.org/10.3923/jas.2012.2059.2064 [11] Pham Van Hai and Vatcharaporn Esichaikul, A Web-Based Decision Support System for the evaluation and Strategic Planning using ISO 9000 factors in Higher Education, VNU Journal of Science, Mathematics – Physics, 24 (2008), 197-208, [12] Noraziah Ahmad and Ahmed N. Abdalla, Smart Evaluation For job Vacancy Application System, The Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), 2009. http://dx.doi.org/10.1109/icadiwt.2009.5273974 [13] Fadhilah Ahmad, Suhailan Safei, Md Yazid Mohd Saman, and Hasni Hassan, Integrated Decision Support System Using Instant Message and Enhanced AHP for Human Resource Selection, The 1st International Symposium on computing in science (ISCSE), Kusadasi, Aydin, Turkey, June, 3-5, 2010. [14] Martin Aruldoss, T. Miranda Lakshmi and V. Prassanna Venkatesan, A Survey on Multi Criteria Decision Making Methods and its Application, American Journal of Information Systems, 1 (2013), no. 1, 13-43. [15] Umm-e-Habiba and Sohail Asghar, A survey on Multi-Criteria Decision Making Approaches, 2009 International Conference on Emerging Technologies (IEEE), 2009. http://dx.doi.org/10.1109/icet.2009.5353151 [16] James S. Dyer, Peter C. Fishburn, Ralph E. Steuer, Jyrki Wallenius and Stanley Zionts, Multiple Criteria Decision Making, Multi-attributes Utility Theory: The Next Ten Years, University of Melbourne, 2014. https://hr.unimelb.edu.au/advice/toolkits/recruitment/pd/selection-criteria Accessed on June 2014. [17] N. Jirapokakul, J. Chalidabhongse, and R. Chutivisarn, Facilitating Job Recruitment Process through Job Application Support System, Management of Innovation and Technology Conference, IEEE, 1 (2006), 111-115. http://dx.doi.org/10.1109/icmit.2006.262244 [18] L. A. Zadeh, Fuzzy Sets, Information and Control, 8 (1965), 338-353. http://dx.doi.org/10.1016/s0019-9958(65)90241-x [19] H. J. Zimmermann, Fuzzy Set Theory RWTH Aachen, Korneliusstr 2 (2010). [20] Zhongliang Yue, A Method for Group Decision-Making Based on Determing Weights of Decision Makers using TOPSIS, Journal of Applied Mathematical Modeling, 35 (2011), 1926-1936. http://dx.doi.org/10.1016/j.apm.2010.11.001 [21] Mehdi Amiri-Aref, Nikbakhs Javadian and Mohammad Kazemi, A New Fuzzy Positive and Negative Ideal Solution for Fuzzy TOPSIS, WSEAS Transaction on Circuit and Systems, 3 (2012), no. 11, 92-103. [22] Golam Kabir and M.Ahsan Akhtar Hasin, Comparative Analysis of TOPSIS and Fuzzy TOPSIS for the Evaluation of Travel Website Service Quality, International Journal for Quality Research, 3 (2012), no. 3, 169-185. [23] Soroush Saghafian and S.Reza Hejazi, Multi-Criteria Group Decision Making Using A modified Fuzzy TOPSIS Procedure, Proceeding of the International Conference on Computational Intelligence for Modeling, (CIMCAIAWTIC), 2005. http://dx.doi.org/10.1109/cimca.2005.1631471
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| spellingShingle |
Integrated decision support system for human resource selection using TOPSIS based models
|
| summary |
Among the responsibilities of Human Resource Department is selecting the right people for the available job. This task tends to be the most challenging due to necessity to make tough decisions under uncertainty. To minimize error occurrences and complexity of the selection process, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is adopted together with fuzzy TOPSIS and Fuzzy set theory to provide solutions to Multi-criteria decision making (MCDM) problems associated with human resource selection (HRS) process. The proposed framework of Integrated Decision Support System for Human Resource Selection using TOPSIS based models was constructed and presented in this paper.
|
| title |
Integrated decision support system for human resource selection using TOPSIS based models
|
| title_full |
Integrated decision support system for human resource selection using TOPSIS based models
|
| title_fullStr |
Integrated decision support system for human resource selection using TOPSIS based models
|
| title_full_unstemmed |
Integrated decision support system for human resource selection using TOPSIS based models
|
| title_short |
Integrated decision support system for human resource selection using TOPSIS based models
|
| title_sort |
integrated decision support system for human resource selection using topsis based models
|