DefinePK

Abstract

In recent years, Soft computing techniques have been researched and implemented in various domains. These methodologies which include Fuzzy Cognitive Maps (FCMs) are similar to the human reasoning approach and effectively applied in a variety of application domains. These techniques learn from experimental data and deals with the uncertain values and imprecise data. It plays a vital role in image processing, data compression, classification, clustering and decision support systems. Also there is a huge increase in emphasis of interest in studying biologically inspired systems called artificial immune systems (AIS) which are a class of computationally intelligent systems inspired by the principles and processes of the vertebrate immune system. Researchers are particularly interested in the capabilities of this system, whose complexity is comparable to that of the human brain. AIS algorithms are machine-learning algorithms that typically exploit the immune system's characteristics of learning and memory to solve complex problem. It attempts to take advantages and benefits of natural immune systems for use in tackling complex problem domains. It is a class of adaptive or learning computer algorithm inspired by function of the biological immune system, designed for and applied to difficult problems such as intrusion detection, data clustering, and classification and search problems. A new hybrid paradigm of artificial immune recognition system algorithm along with FCM (AIRS_FCM_LD) is proposed for classification of learning disabled datasets and yields a classification accuracy of 94.87%.