Intrusion detection systems (IDS) have to process millions of packets with many features, which delay the detection of anomalies. Sampling and feature selection may be used to reduce computation time and hence minimizing intrusion detection time. This paper aims to suggest some feature selection algorithm on the basis of The Technique for Order of Preference by Similarity to Ideal Solution (TOP...

When multiple algorithms are applied to multiple benchmarks as it is common in evolutionary computation, a typical issue rises, how can we rank the algorithms? It is a common practice in evolutionary computation to execute the algorithms several times and then the mean value and the standard deviation are calculated. In order to compare the algorithms performance it is very common to use statis...

Forthcoming wireless environment is a fusion of numerous networks with diverse technologies deployed by individual operators. In such an environment, innovative network selection methodologies are required not only to provide “always best connected” service to mobile users but also to maximize network operator’s revenue. To fulfill such requirements, multiple attributes from each network are to...

In this paper, we propose a hybrid fuzzy decision making approach, combining elements of fuzzy-ELECTRE and Fuzzy-TOPSIS, towards a new ranking procedure. The main objective of FETOPSIS is to offer rankings with good alternative discriminatory power to decision makers (DMs). This research work was motivated by a real case study in which multiple attribute decision making techniques were used to ...

Measuring performance and determining the key factors of performance have been an important research topic in different sector in recent years. The main goal of this study is to evaluate the performance ranks of the private banks in Turkey due to the fact that performances of private banks are important at the stage of economic growth. In this research, the private banks in Turkey ranked by TOP...