A Network Security Evaluation Method Framework Based on Multiple Criteria Decision Making Theory

2011 ◽  
Author(s):  
Zhao Jinjing ◽  
Wen Yan ◽  
Wang Dongxia
Keyword(s):  
Decision Making ◽  
Network Security ◽  
Evaluation Method ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Security Evaluation

Application and comparative study of new optimization method for performance ranking of friction materials

2017 ◽  
Vol 232 (2) ◽  
pp. 143-154 ◽  
Author(s):  
Vishal Mahale ◽  
Jayashree Bijwe ◽  
Sujeet Sinha
Keyword(s):  
Decision Making ◽  
Comparative Study ◽  
Decision Model ◽  
Evaluation Method ◽  
Multiple Criteria Decision Making ◽  
Optimization Method ◽  
Friction Material ◽  
Multiple Criteria ◽  
Friction Materials ◽  
Performance Ranking

Good friction materials should satisfy diverse and contradictory performance requirements such as adequate friction ( µ ≈ 0.35–0.45), resistance to wear, fade, squeal, judder, etc. in consort with good recovery and less noise producing tendency. To achieve center point of all these conflicting criteria and selection of best overall performing friction material is multiple criteria decision making (MCDM) problem and very difficult task. Decision maker can easily make decision with single criteria without the help of any optimization tool by maximizing beneficial criteria and minimizing non-beneficial criteria. However, it is extremely challenging task if decision making involves several number of conflicting criteria. Few techniques are reported in the literature such as ‘multiple criteria decision model’, ‘Multi-attribute decision model’, ‘extension evaluation method’ (EEM), etc. for performance ranking of friction materials. However, the simplicity, reliability, applicability, time devoted for the analysis, etc. are always most important aspects of selecting a right tool for the analysis. In this paper application of a technique ‘multiple objective optimization on the basis of ratio analysis’ (MOORA) has been first time employed for performance ranking of friction materials. A comparative study of MOORA and currently used methods MCDM and EEM are also presented. MOORA proved to be the best tool based on the criteria such as simple to use, fast, flexible, and efficient one.

A Hierarchical Detriment Evaluation Method of Security Incidents Based on Service Correlation

2014 ◽  
Vol 644-650 ◽  
pp. 5981-5985
Author(s):  
Yan Li Lv ◽  
Shuang Xiang ◽  
Yuan Long Li ◽  
Chun He Xia
Keyword(s):  
Decision Making ◽  
Information System ◽  
Life Cycle ◽  
Network Security ◽  
Evaluation Method ◽  
Security Evaluation ◽  
Service Correlation ◽  
Security Incidents

Internet is inundated with large amount of intrusion, attack and other security incidents, which have posed a serious threat to network security. Security evaluation is one of the important management means throughout the life cycle of information system; it is also a basis and premise of formulating and adjusting the security strategies. Accurately predicting the impending security incidents and evaluating the possible degree of detriment are the decision-making foundation in network security defense. In this paper, a hierarchical detriment evaluation method of security incidents is put forward, after direct detriment is calculated ,indirect detriment of the incidents is calculated based on service dependence and permission transfer relations, and then, the overall detriment of security incidents is obtained.

Multiple Criteria Decision Making Methodology for Network security

2014 ◽  
Vol 8 (1) ◽  
pp. 17-24
Author(s):  
Dr.S. Munisankaraiah ◽  
◽  
Mr.A.Arun Kumar ◽  
Mr.G.Ravi kumar ◽  
Dr.D.K. Pandey
Keyword(s):  
Decision Making ◽  
Network Security ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

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