MOORA Model Based on New Fuzzy Entropy and Its Application in Recruitment Information System

Received: 20-07-2020

Accepted: 14-04-2021

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KỸ THUẬT VÀ CÔNG NGHỆ

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Hai, N., Hanh, N., Giang, V., Hue, D., & Thuy, N. (2024). MOORA Model Based on New Fuzzy Entropy and Its Application in Recruitment Information System. Vietnam Journal of Agricultural Sciences, 19(7), 975–986. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/854

MOORA Model Based on New Fuzzy Entropy and Its Application in Recruitment Information System

Nguyen Huu Hai (*) 1 , Nguyen Van Hanh 1 , Vu Thi Thu Giang 1 , Do Thi Hue 1 , Nguyen Thi Bich Thuy 1

  • 1 Khoa Công nghệ thông tin, Học viện Nông nghiệp Việt Nam
  • Keywords

    Fuzzy entropy, MOORA, recruitment information system, personnel selection

    Abstract


    Human resource selection is considered a vital factor for an organization or an enterprise, aiming to select the best candidates in order to meet the job requirements as well as the development of an organization or an enterprise in the future. Personnel selection is Multi-Criteria Decision-Making (MCDM) problem with many conflicting attributes. In this paper, we proposed a new fuzzy entropy measure to improve the calculation of weight of criteria in MOORA method. In addition, the proposed measure has also provided more options to calculate entropy measures of fuzzy sets. Finally, we applied the proposed model to the personnel selection for a training program and choosing the right accountant for a business. The obtained results are similar to those of other methods such as SWARA and FMCDM.

    References

    Ali R.A., Milan N. & Zahra A. (2017). Personnel selection using Group fuzzy AHP and SAW methods. Journal of engineering management and competitiveness (JEMC). 7(1): 3-10.

    Brauers W.K.M. & Zavadskas E.K. (2006). The MOORA method and itsapplication to priva-tization in a transitioneconomy. Control and Cybernetics. 35(2): 445-469.

    Brauers W.K.M. & Zavadskas E.K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Techn-ological and Economic Development of Economy. 16(1): 5-24.

    El-Santawy M.F. (2012). Personnel Training Selection Problem Based on Modified TOPSIS". Computing andInformation Systems Journal. University of the West of Scotland. 16(1): 92-97.

    Gökay Akkaya, Betül Turanoðlu & Sinan Öztas (2015) An Integrated Fuzzy AHP and Fuzzy MOORA Approach to the problem of Industrial Engineering Sector Choosing. Expert Systems with Applications.

    Hadad Y., Keren B.& Laslo Z. (2013). A decisionmaking support system module for project manager selection according to past performance. International Journal of Project Management. 31(4): 532-541.

    Hwang C.L. & Yoon K. (1981). Multiple Attributes Decision Making Methods and Applications. Heidelberg: Springer, Berlin.

    Kabak M., Burmaoðlu S. & Kazançoðlu Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications. 39(3): 3516-3525.

    Karande P. & Chakraborty S. (2012). A Fuzzy-MOORA approach for ERP system selection. Decision Sciences Letters 1(1): 11-22.

    Kersuliene V. & Turskis Z. (2011). Integrated fuzzy multiple criteria decision making model for architect selection. Technological and Economic Development of Economy. 17(4): 645-666.

    Kersuliene V., Zavadskas E.K. & Turskis Z. (2010). Selection of rational dispute resolution method by applying new step - wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management. pp. 243-258.

    Liu Xuecheng (1992). Entropy, distance measure and similarity measure of fuzzy sets and their relations. Fuzzy Sets and Systems.52: 305-318.

    Luis P.D., Luis A.R.P., Alejandro A.I., David L.C.& Zeshui X. (2018) MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making. Complexity in Manufacturing Processes and Systems.

    Mohamed F. El-Santawy1 & Ahmed A.N. (2012). Personnel Training Selection Problem Based on SDV-MOORA. Life Science Journal. 9(2s).

    Petrovic-Lazarevic S. (2001). Personnel selection fuzzy model. International Transactions in Operational Research. pp. 89-105.

    Saaty T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

    Saaty T.L. (1996). The Analytic Network Process. RWS Publications, Pittsburgh.

    Stanujkic D., Magdalinovic N., Jovanovic R. & Stojanovic S. (2012). An objective multi-criteria approach to optimization using MOORA method and interval grey numbers. Technological and Economic Developmentof Economy. 18(2): 331-363.

    Stanujkic D., Magdalinovic N., Milanovic D., Magdalinovic S. & Popovic G. (2014). An Efficient and Simple Multiple Criteria Model for a Grinding Circuit Selection Based on MOORA Method. Informatica. pp. 73-93.

    Wang D. (2009). Extension of TOPSIS Method for R and D Personnel Selection Problem with Interval Grey Number. 2009 International Conference on Management and Service Science. pp.1-4.

    Yakup Çelikbilek (2018). Using an Integrated Grey AHP–MOORA Approach for Personnel Selection: An Application on Manager Selection in the Health Industry (2015). Alphanumeric journal. 6(1).

    Zadeh L.A. (1965). Fuzzy sets. Information and control. 8(3): 338-353.

    Zhang S.F. & Liu S.Y. (2011). A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection, Expert Systems withApplications. pp. 11401-11405.