scholarly journals Hesitant Fuzzy-Sets Based Decision-Making Model for Security Risk Assessment

2022 ◽  
Vol 70 (2) ◽  
pp. 2297-2317
Author(s):  
Ahmed S. Alfakeeh ◽  
Abdulmohsen Almalawi ◽  
Fawaz Jaber Alsolami ◽  
Yoosef B. Abushark ◽  
Asif Irshad Khan ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Fuzzy Sets ◽  
Security Risk ◽  
Hesitant Fuzzy Sets ◽  
Security Risk Assessment ◽  
Decision Making Model

Developing an Energy Risk Assessment System

2010 ◽  
pp. 337-355 ◽  
Author(s):  
Alexandros Flamos ◽  
Christos V. Roupas ◽  
John Psarras
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Energy Security ◽  
Assessment System ◽  
Security Risk ◽  
Security Of Supply ◽  
Robust Decision Making ◽  
Policy Makers ◽  
Security Risk Assessment

Throughout the last two decades many attempts took place in order policy makers and researchers to be able to measure the energy security of supply of a particular country, region and corridor. This chapter is providing an overview presentation of the Energy Security Risk Assessment System (E.S.R.A.S.) which comprises the Module of Robust Decision Making (RDM) and the Module of Energy Security Indices Calculation (ESIC). Module 1 & 2 are briefly presented throughout section 2 and the application of Module 2 in nine case study countries is discussed at section 3. Finally, in the last section are the conclusions, which summarize the main points, arisen in this chapter.

scholarly journals Method of Information Security Risk Assessment Based on Improved Fuzzy Theory of Evidence

2018 ◽  
Vol 14 (03) ◽  
pp. 188 ◽  
Author(s):  
Xuepeng Huang ◽  
Wei Xu
Keyword(s):  
Risk Assessment ◽  
Information Systems ◽  
Information Security ◽  
Fuzzy Sets ◽  
Fuzzy Theory ◽  
Security Risk ◽  
Basic Probability ◽  
Information Security Risk ◽  
Security Risk Assessment ◽  
Theory Of Evidence

<p>A method based on improved fuzzy theory of evidence was presented to solve the problem that there exist all kinds of uncertainty in the process of information security risk assessment. The hierarchy model for the information systems risk assessment was established firstly, and then fuzzy sets were introduced into theory of evidence. The basic probability assignments were constructed using the membership function of fuzzy sets, and the basic probability assignments were determined. Moreover, weight coefficients were calculated using entropy weight and empirical factor, which combined the objective weights with the subjective ones, and improved the validity and reliability. An illustration example indicates that the method is feasible and effective, and provides reasonable data for constituting the risk control strategy of the information systems security.</p>

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