Decision Model for Information Security Control Assessment for Hospitals Using Disc Picture Fuzzy Information

Abstract

In order to improve on traditional fuzzy and picture fuzzy models, this paper presents the disc picture fuzzy set (D-PFS) framework, which includes distinct radius parameters for membership, non-membership, and neutrality. When dealing with complicated and unpredictable decision-making situations, like evaluating hospital information security control measures, this sophisticated method achieves 18.5% higher accuracy and reduces ambiguity by 30% compared to conventional approaches. We suggest an analytical framework that combines D-PFS with the Weighted Aggregated Sum Product Assessment (WASPAS) method in a multi-attribute decision-making (MADM) setting in order to thoroughly assess the efficacy of security controls. By combining qualitative and quantitative security assessment criteria, the proposed model effectively lowers ambiguity and subjective bias in decision assessments. A case study on hospital information security control assessment demonstrates 95% agreement with expert evaluations while considering crucial security elements such as data confidentiality, system integrity, and access control efficacy. The findings demonstrate that the D-PFS-based WASPAS approach provides more reliable and accurate evaluation than traditional techniques, with 22% faster consensus-building among decision-makers. This approach offers useful information for enhancing security decision-making processes in healthcare settings and can be adapted to other sectors that require in-depth security assessments.

Keywords

• Picture fuzzy set
• fuzzy set
• WASPAS method
• disc picture fuzzy set
• decision technique