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
  • Galatasaray University Affiliated: Yes

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.