Squids species classification using fuzzy inference system based on morphometric measurements

Abstract

Identification in the field of commercial species, one of the species is Squids. Squid is a marine cephalopod mollusk. Each species of the squids has got its own features and to accurately classify the squids. The most dramatic differences were observed in Total length, Mantle Length, Mantle Width, Head Length, Head Width and Fin Width which could be used to distinguish squid from some of the different squids. To classifying the Squid species by taking the morphometric measurements, sometimes uncertainty will be arised by measuring features of mantle, fin and head of squid. To overcome this problem Fuzzy Inference System is used for classification of squids. In this paper computed features are fed into classifier i.e. “Fuzzy Inference System based on subtractive clustering of classification of squid species with six morphometric measurements. The classification accuracy is best yielded with Fuzzy inference system classifier of 88.0%.”