Evaluating types of soil suitable for construction using radial basis function fuzzy neural network

Abstract

This paper deals with radial basis fuzzy neural network using bipolar picture fuzzy soft sets. Firstly a bipolar picture fuzzy decision matrix is constructed. A bipolar picture fuzzy Gaussian membership function is defined. Next degree values are calculated and used for finding the entropy. These entropy values help in determining the weights of bipolar picture fuzzy sets. Output is obtained by multiplication of weight values and BPFS Gaussian membership values. By using this method, the soil suitable for construction of buildings is found.