A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

In this paper, the stronger forms of fuzzy generalized preregular continuous functions namely, strongly fuzzy fgpr-continuous, perfectly fgpr-continuous and completely fuzzy fgpr-continuous functions have been introduced and studied in fuzzy topological spaces. AMS subject classification: 54A40.

A new algorithm namely, fuzzy zero point method is proposed for finding a fuzzy optimal solution for a fuzzy transportation problem where the transportation cost, supply and demand are trapezoidal fuzzy numbers. The optimal solution for the fuzzy transportation problem by the fuzzy zero point method is a trapezoidal fuzzy number. The solution procedure is illustrated with numerical example. Mat...

A group of rules is belonging to one of the most popular, effective and userfriendly knowledge representation technologies. In this paper, a new direct method for making classification fuzzy rules on the basis of fuzzy attribute elimination is proposed. This elimination works with widely usable fuzzy attributes and eliminates them considering their unimportance determined by computing classific...

Intelligent systems for the diagnosis and classification of Endocrine Myopathy (EM) plays very significant role in the medical field. Neuro-fuzzy system is refers to combinations of artificial neural networks and fuzzy logic, in which fuzzy system works like human reasoning and the learning structure of neural networks. The plan of this paper is to present the Neuro-fuzzy system for the classif...

Coevolutionary algorithms have received increased attention in the past few years within the domain of evolutionary computation. In this paper we combine the search power of coevolutionary computation with the expressive power of fuzzy systems, presenting Fuzzy CoCo: Fuzzy Cooperative Coevolution. We demonstrate the efficacy of Fuzzy CoCo by applying it to two hard problems—plant classification...

How to carry out the stakeholders managements effectively, one major issue is to continuously meet the demands of the stakeholders. The purpose of this paper is to clarify the disorganized information of stakeholders demands and correctly deal with it. The paper has expounded on the project stakeholders' demands information, such as fuzziness, randomness, dynamics, diversity and contradictorine...