Design of Advanced Intelligent Network Advisor Using Fuzzy Rule Base System

Abstract

Computer networks have become very important for businesses, organizations and institutions as the amount of network consumers, services, and submissions has improved along with developments in educational technology. Efforts have been put forward by researchers, designers, managers, analysts, and professionals to optimize network performance and assure the optimum network design. Moreover, the idea is to develop a new type of network that is capable of meeting the user needs and also can face the new challenges that users are facing now a days. This research aims to develop a decision support system (DSS) for network planning and designing. A network plan or design is subject to a number of network components like transmission media, coverage area, cost etc and features like data rate, bandwidth, efficiency etc. That is why sometime its really hard for a person to optimally choose the components of the network so that its usage can be optimized according to the users need. A fuzzy rule base system (FRBS) is proposed and designed for the solution of above problem. Fuzzy system is suitable for the situations that are vague and missing certain information. The FRBS once designed would be able to suggest the most suitable most network model when a set of requirements will be given as input. Once the model is decided users can easily obtain the appropriate plan of action.