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

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

Author(s): Violeta Keršulienė, Zenonas Turskis
Subject(s): Business Economy / Management, Accounting - Business Administration
Published by: Vilnius Gediminas Technical University
Keywords: personnel selection; accountant; linguistic representation; ARAS-F; AHP; MCDM; decision making; J01; J24; M41; M54; C44;

Summary/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.

  • Issue Year: 15/2014
  • Issue No: 2
  • Page Range: 232-252
  • Page Count: 21
  • Language: English