A Fuzzy Inference System for Management Control Tools

Carolina Nicolas, Javiera Müller and Francisco-Javier Arroyo-Cañada
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Carolina Nicolas: Departamento de Administración, Facultad de administración y Economía, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile
Javiera Müller: Escuela de Auditoría, Universidad de Valparaíso, Valparaiso 2362700, Chile
Francisco-Javier Arroyo-Cañada: Facultat d’Economia i Empresa, Universitat de Barcelona, 08034 Barcelona, Spain

Mathematics, 2021, vol. 9, issue 17, 1-19

Abstract: Despite the importance of the role of small and medium enterprises (SMEs) in developing and growing economies, little is known regarding the use of management control tools in them. In management control in SMEs, a holistic system needs to be modeled to enable a careful study of how each lever (belief systems, boundary systems, interactive control systems, and diagnostic control systems) affects the organizational performance of SMEs. In this article, a fuzzy logic approach is proposed for the decision-making system in management control in small and medium enterprises. C. Mamdani fuzzy inference system (MFIS) was applied as a decision-making technique to explore the influence of the use of management control tools on the organizational performance of SMEs. Perceptions data analysis is obtained through empirical research.

Keywords: fuzzy logic toolbox; Mamdani method; performance; management control; small and medium enterprises (SME) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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