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A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer

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  • Violeta Keršulienė
  • Zenonas Turskis

Abstract

In the preceding decade, economic and social costs brought by financial statement fraud have shaken markets, devastated investment portfolios and reduced confidence in financial reporting. A financial department is special in the way it needs to conform to standards. Many individual attributes considered for the selection of a chief accounting officer, such as organisational skills, personality, leadership etc. This paper focuses on a fuzzy multi-criteria decision making (MCDM) algorithm, which integrates the principles of fusion of fuzzy information, additive ratio assessment method with fuzzy numbers (ARAS-F), fuzzy weighted-product model and analytic hierarchy process (AHP). The proposed method is apt to manage information assessed using both linguistic and numerical scales in a decision making problem with a group of information sources. The computational procedure is illustrated through the problem related to the selection of a chief accounting officer.

Suggested Citation

  • Violeta Keršulienė & Zenonas Turskis, 2014. "A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(2), pages 232-252, April.
    • Handle: RePEc:taf:jbemgt:v:15:y:2014:i:2:p:232-252
    DOI: 10.3846/16111699.2014.903201
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    Cited by:

    1. María Carmen Carnero, 2020. "Fuzzy Multicriteria Models for Decision Making in Gamification," Mathematics, MDPI, vol. 8(5), pages 1-23, May.
    2. Zenonas TURSKIS & Violeta KERŠULIENĖ & Irina VINOGRADOVA, 2017. "A New Fuzzy Hybrid Multi-Criteria Decision-Making Approach to Solve Personnel Assessment Problems. Case Study: Director Selection for Estates and Economy Office," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 211-229.
    3. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
    4. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    5. Zhi Wen & Huchang Liao & Ruxue Ren & Chunguang Bai & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Abdullah Al-Barakati, 2019. "Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method," IJERPH, MDPI, vol. 16(23), pages 1-21, December.

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