Usable-Security Assessment of Healthcare Software System Through Fuzzy ANP-TOPSIS Method

Adil Hussain Seh, Masood Ahmad, Mohd Nadeem, Abhishek Kumar Pandey, Alka Agrawal, Rajeev Kumar and Raees Ahmad Khan
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Adil Hussain Seh: Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
Masood Ahmad: Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
Mohd Nadeem: Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
Abhishek Kumar Pandey: Department of Computer Science, M. L. K. P. G. College, Balrampur- 271201, Uttar Pradesh, India
Alka Agrawal: Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India
Rajeev Kumar: Department of Computer Applications, Shri Ramswaroop Memorial University, Barabanki-225003, Uttar Pradesh, India
Raees Ahmad Khan: Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India

International Journal of System Dynamics Applications (IJSDA), 2021, vol. 10, issue 4, 1-24

Abstract: To address this research possibility, the present empirical study undertakes the assessment of usable-security of healthcare software system. The attributes considered for the assessment are: four factors at first level; thirteen sub-factors at the second level with six Hospital Management Software Systems (HMSS) as alternatives. Fuzzy Analytic Network Process (F-ANP) has been applied for evaluating the weights of the attributes and their relationship with one other. Finally, fuzzy Technique for Order of Preference by Similarity to Ideal Solutions (F-TOPSIS) technique has been applied and alternatives ranking has been estimated. Results of the study conclude that HMSS-1 provides better usable–security. Furthermore, as analysed, F-TOPSIS produced more convincing results in assessing the usable-security of the HMSS. This research analysis also corroborates that when compared with the Classical ANP TOPSIS, the Fuzzy-ANP TOPSIS is the ideal methodology for producing accurate results.

Date: 2021
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