نتایج جستجو برای: fuzzy bayesian network

تعداد نتایج: 808595  

2006
O Adetunmbi Adebayo Zhiwei Shi Zhongzhi Shi Olumide S. Adewale

Security of networking systems has been an issue since computer networks became prevalent, most especially now that Internet is changing the facie computing. Intrusions pose significant threats to the integrity, confidentiality and availability of information for the internet users. In this paper, a new approach to real-time network anomaly intrusion detection via Fuzzy-Bayesian is proposed to ...

Journal: :Expert Syst. Appl. 2009
Weiyi Liu Kun Yue Jing-Yu Su Yu Yao

It is necessary and challenging to represent the probabilities of fuzzy events and make inferences between them based on a Bayesian network. Motivated by such real applications, in this paper, we first define the interval probabilities of type-2 fuzzy events. Then, we define weak interval conditional probabilities and the corresponding probabilistic description. The expanded multiplication rule...

2014
Muhammad Danaparamita

The use of computer has widely used as a tool to help student in learning, one of the computer application to help student in learning is in the form of Intelligent Tutoring System. Intelligent Tutoring System used to diagnose student knowledge state and provide adaptive assistance to student. However, diagnosing student knowledge level is a difficult task due to rife with uncertainty. Student ...

2010
HAMED NAFISI BABAK ABDI AMIRHOSSEIN AGHAKHANI

Fault diagnosis is a vital discussion in power systems restoration. Recently, much research endeavors have been done for fault section diagnosis of power systems by using several techniques, such as rule-based expert system, logic-based expert system, fuzzy relation based expert system, neural network, optimization techniques based approach, etc. They diagnose the fault from different ways. How...

2005
Kyung-Joong Kim Si-Ho Yoo Sung-Bae Cho

Clustering for the analysis of the gene expression profiles has been used for identifying the functions of the genes and of unknown genes. Since the genes usually belong to multiple functional families, fuzzy clustering methods are more appropriate than the conventional hard clustering methods. However, it is still required to devise natural way to measure the quality of the cluster partitions ...

Journal: :journal of optimization in industrial engineering 0
marjan niyati department of computer engineering and information technology qazvin azad university of technology ,iran amir masud eftekhari moghadam department of computer engineering and information technology qazvin azad university of technology ,iran

estimating the final price of products is of great importance. for manufacturing companies proposing a final price is only possible after the design process over. these companies propose an approximate initial price of the required products to the customers for which some of time and money is required. here using the existing data of already designed transformers and utilizing the bayesian anal...

Journal: :journal of optimization in industrial engineering 2010
marjan niyati amir masud eftekhari moghadam

estimating the final price of products is of great importance. for manufacturing companies proposing a final price is only possible after the design process over. these companies propose an approximate initial price of the required products to the customers for which some of time and money is required. here using the existing data of already designed transformers and utilizing the bayesian anal...

2016
Wang Xing-zhu

The situation of information security is difficult to be precise, autonomous and controllable. In this situation, the situation of the system is based on Fuzzy Dynamic Bayesian network. The model of situation awareness and situation estimation is constructed. The simulation results are compared with that of static Bayesian network model. The experimental results show that this method can better...

کرمی, حسین, خطیب زاده, هادی , غلامی, مصطفی , مسلمی, نیکی , کریمی, مازیار ,

Short term load forecasting (STLF) is one of the important issues in the energy management of power systems. Increasing the accuracy of STLF results leads to improving the energy system scheduling and decreasing the operating costs. Different methods have been proposed and applied in the STLF problem such as neural network, fuzzy system, regression-based and neuro-fuzzy methods. This paper inve...

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