A New Approach to Evaluate Computer Network Security Under Intuitionistic Trapezoidal Fuzzy Information

2021 ◽  
pp. 233-241
Author(s):  
Sapna Gahlot ◽  
Ram Naresh Saraswat
Keyword(s):  
Network Security ◽  
Computer Network ◽  
Fuzzy Information ◽  
New Approach ◽  
Computer Network Security

scholarly journals An Approach to Evaluating Computer Network Security with Intuitionistic Trapezoidal Fuzzy Information

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Ming Xue
Keyword(s):  
Decision Making ◽  
Network Security ◽  
Computer Network ◽  
Weighted Average ◽  
Multiple Attribute Decision Making ◽  
Ideal Solution ◽  
Fuzzy Information ◽  
Fuzzy Weighted Average ◽  
Multiple Attribute ◽  
Computer Network Security

We investigate the multiple attribute decision-making problems for evaluating the computer network security with intuitionistic trapezoidal fuzzy information. We utilize the intuitionistic trapezoidal fuzzy weighted average (ITFWA) operator to aggregate the intuitionistic trapezoidal fuzzy information corresponding to each alternative and get the overall value of the alternatives and then rank the alternatives and select the most desirable one(s) according to the distance between the overall value of the alternatives and ideal solution. Finally, an illustrative example for evaluating the computer network security is given.

Computer Network Security and Directory Services Architecture

2000 ◽  
Author(s):  
James D. Johannes ◽  
Andrew Fanning ◽  
Kyle Hoover ◽  
Tim Lewis ◽  
Marsha Robinson
Keyword(s):  
Network Security ◽  
Computer Network ◽  
Computer Network Security ◽  
Directory Services

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

2020 ◽  
Vol 39 (3) ◽  
pp. 4427-4441
Author(s):  
Bin Xu
Keyword(s):  
Network Security ◽  
Membership Function ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Computer Network ◽  
Information Aggregation ◽  
Security Evaluation ◽  
Uncertain Information ◽  
Intuitionistic Fuzzy ◽  
Computer Network Security

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.

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