Analysis of companies' digital maturity with hesitant fuzzy linguistic MCMD methods


Guler M. , MUKUL E. , Buyukozkan G.

13th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Belfast, United Kingdom, 21 - 24 August 2018, vol.11, pp.1074-1082 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 11
  • City: Belfast
  • Country: United Kingdom
  • Page Numbers: pp.1074-1082

Abstract

Hesitant fuzzy linguistic term sets (HFLTS) is a technique that can be used to facilitate Decision Makers' (DMs) judgment processes in complex and uncertain situations. In real-world problems, DMs might hesitate while giving their opinions. HFLTS technique gives DMs the possibility to use linguistic expressions with comparative judgments and to overcome the hesitancy. This paper presents a decision framework based on HFLTS, Hesitant Fuzzy Linguistic (HFL) Analytic Hierarchy Process (AHP) and Additive Ratio ASsessment (ARAS) method for the first time. There is a need for an analytical tool to determine the criteria that affect a company's level of digitalization, to analyze the significance of these criteria to construct the Digital Maturity Models (DMMs) and to rank the companies according to their digital maturity. This paper provides a scientific method that helps to determine the most important criteria for companies' DMM and to rank enterprises. A case study in the banking sector is illustrated to verify the applicability of this methodology.