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, İngiltere, 21 - 24 Ağustos 2018, cilt.11, ss.1074-1082 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 11
  • Basıldığı Şehir: Belfast
  • Basıldığı Ülke: İngiltere
  • Sayfa Sayıları: ss.1074-1082


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.