Evaluation of hospital web services using intuitionistic fuzzy AHP and intuitionistic fuzzy VIKOR

Professionals in the healthcare industry are constantly pressured to ensure that their provided services are patient-focused. Considering that the healthcare industry seeks continuous performance improvement, well-designed web services can benefit healthcare institutions by improving their reputation and recognition. This paper provides a new perspective for web service performance of healthcare institutions with different quality evaluation criteria for ranking their web services. The proposed framework is based on an integrated multiple criteria decision making (MCDM) methodology that makes use of the intuitionistic fuzzy analytic hierarchy process (IF AHP) and intuitionistic fuzzy Višekriterijumsko kompromisno rangiranje Resenje (IF VIKOR). The methodology presented in this study displays a framework which can be used for better explaining the complicated aspects of the execution of healthcare web services. The proposed approach is applied on a case study to measure the performance of the web based services of ten different healthcare institutions in Turkey.

[1]  Gülçin Büyüközkan,et al.  A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry , 2012, Expert Syst. Appl..

[2]  Da Ruan,et al.  A fuzzy preference‐ranking model for a quality evaluation of hospital web sites , 2006, Int. J. Intell. Syst..

[3]  Zeshui Xu,et al.  Intuitionistic Preference Modeling and Interactive Decision Making , 2013, Studies in Fuzziness and Soft Computing.

[4]  A. Parasuraman,et al.  Service quality delivery through web sites: A critical review of extant knowledge , 2002, Journal of the Academy of Marketing Science.

[5]  Gulcin Buyukozkan,et al.  An integrated multi criteria decision making approach for electronic service quality analysis of healthcare industry , 2010, 2010 International Conference on Information Society.

[6]  Samarjit Kar,et al.  Strategic Decisions Using Intuitionistic Fuzzy Vikor Method for Information System (IS) Outsourcing , 2013, 2013 International Symposium on Computational and Business Intelligence.

[7]  V. Zeithaml Service excellence in electronic channels , 2002 .

[8]  Evangelos Grigoroudis,et al.  The assessment of user-perceived web quality: Application of a satisfaction benchmarking approach , 2008, Eur. J. Oper. Res..

[9]  Shu-Ping Wan,et al.  The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers , 2013, Knowl. Based Syst..

[10]  Abha Agrawal,et al.  A systematic critique of diabetes on the world wide web for patients and their physicians , 2004, Int. J. Medical Informatics.

[11]  C. Flavián,et al.  Perceived e‐service quality (PeSQ) , 2007 .

[12]  Lazim Abdullah,et al.  Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia , 2016 .

[13]  Bradley C. Martin,et al.  The initial development of the WebMedQual scale: Domain assessment of the construct of quality of health web sites , 2006, Int. J. Medical Informatics.

[14]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..