A system for evaluating land suitability using fuzzy logic method has been developed. The system determining a degree of delimitation, land ratings, suitability classes, and their actual land suitability subclasses of given land characteristics. The main parts of the evaluation process, which included in the fuzzy inference engine of the knowledge based system, are fuzzification and defuzzifica...

In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection System . A unique feature of this model is that the agent uses the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. This paper discusses th...

This paper describes a method for formal compression of fuzzy systems. This method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base. As a result of this compression, the number of on-line operations during the fuzzy inference process is significantly reduced without compromising the solution. This r...

The most important part of a Case-Based Reasoning system is the retrieval stage, where the system must find in a sometimes-huge case base, the best matching case or cases from which to produce the prediction for the outcome of a given situation. In this paper we propose a fuzzy logic based approach for identifying cases for the similarity measuring stage of case based reasoning systems. We comb...

A rule base reduction and tuning algorithm is proposed as a design tool for the knowledge-based fuzzy control of a vacuum cleaner. Given a set of expert-based control rules in a fuzzy rule base structure, proposed algorithm computes the inconsistencies and redundancies in the overall rule set based on a newly proposed measure of equality of the individual fuzzy sets. An inconsistency and redund...

One of the problems associated to linguistic fuzzy modeling is its lack of accuracy when modeling some complex systems. To overcome this problem, many different possibilities of improving the accuracy of linguistic fuzzy modeling have been considered in the specialized literature. We will call these approaches as basic refinement approaches. In this work, we present a short study of how these b...

The aim of this paper to review the Taguchi based Grey relational analysis is used to find the best process parameters and improved quality results. The GRA was proposed to optimize the multi response problem by making use of the grey relational coefficient and grey relational grade. GRA is attempted to integrate multiple responses, it is feasible to combine GRA with Taguchi method to provide a...

Electrical discharge machining is assessed on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (SR). Process parameters that mostly affected the EDM Process are Pulse on Time, Pulse off Time, Discharge Current, Arc Gap and Duty Cycle. This paper reviews research for the optimization and improvement of various performance parameters measured in the experiment...

In this paper, a hybrid Taguchi-immune algorithm (HTIA) is presented to deal with the unit commitment problem. HTIA integrates the Taguchi method and the traditional immune algorithm (TIA), providing a powerful global exploration capability. Taguchi method (TM) has been widely used in experimental designs for problems with multiple parameters, and is incorporated into TIA in this paper for the ...