A novel grade assessment method for cybersecurity situation of online retailing with decision makers’ bounded rationality

• Published in: Information sciences Vol. 667; p. 120476
• Main Authors: Yu, Gao-Feng, Zuo, Wen-Jin
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.05.2024
• Subjects: Grade assessment method; IF entropy; Intuitionistic fuzzy set; Network security; Network security; IF entropy; Intuitionistic fuzzy set; Grade assessment method
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2024.120476

The online retailing cybersecurity situations grade assessment (GS) is a key issue in cybersecurity management, which can be regarded as a type of multi-attributes GS problems. However, traditional GS methods rarely discuss the boundary fuzziness and hesitation in the grade classification of attributes, as well as the monotony relation and interrelation between entropy fuzziness and intuitionism. A novel GS method with respect to decision makers’ bounded rationality is proposed. To get the method, the membership functions (MFs) and non-membership functions (NMFs) of attributes’ eigenvalue grade considering decision maker s’ bounded rationality and hesitation are proposed. An axiomatic definition of IF entropy on the basis of isentropic arcs is proposed, providing the formula of the monotony relation and interrelation between fuzziness and intuitionism. We, considering the reliability and the IF grade assessment method, propose the similarity of IF grade eigenvalue, which identifies grades reasonably and distinguishes the ranking of the same grade, and overcomes the defect that the maximum membership degree principle ignores the position differences of each grade assessment level.