Methods for evaluating the computer network security with fuzzy number intuitionistic fuzzy dual Hamy mean operators

Article type: Research Article

Authors: Xu, Bin^*;

Affiliations: School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, Hubei, P.R. China

Correspondence: [*] Corresponding author. Bin Xu, School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, Hubei, 437100, P.R.China. E-mail: [email protected].

Abstract: The concept of fuzzy number intuitionistic fuzzy sets (FNIFSs) is designed to effectively depict uncertain information in decision making problems which fundamental characteristic of the FNIFS is that the values of its membership function and non-membership function are depicted with triangular fuzzy numbers (TFNs). The dual Hamy mean (DHM) operator gets good performance in the process of information aggregation due to its ability to capturing the interrelationships among aggregated values. In this paper, we used the dual Hamy mean (DHM) operator and dual weighted Hamy mean (WDHM) operator with fuzzy number intuitionistic fuzzy numbers (FNIFNs) to propose the fuzzy number intuitionistic fuzzy dual Hamy mean (FNIFDHM) operator and fuzzy number intuitionistic fuzzy weighted dual Hamy mean (FNIFWDHM) operator. Then the MADM methods are proposed along with these operators. In the end, we utilize an applicable example for computer network security evaluation to prove the proposed methods.

Keywords: Multiple attribute decision making (MADM), dual weighted hamy mean (WDHM) operator, fuzzy number intuitionistic fuzzy weighted dual hamy operators (FNIFWDHM), computer network security evaluation

DOI: 10.3233/JIFS-200414

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4427-4441, 2020