Fuzzy Neural Model (FNM) for Selecting ERP Technologies in a Ongoing Project Settings

The aim of this research work is to provides a solution for ERP software selection & elimination. ERP is a way to integrate data and processes of an organization into a centralized system that aims to have a single software solution where the information needed for decision making is shared across different departments. The selection or elimination of technology is a multi-criteria, multi-attribute, decision making problem, which involves both tangible and intangible factors, that can be solved by Fuzzy-Neural model (FNM). which is based on Neural Networks, is a new approach towards solving this problem. We trained the system to make a pair wise comparison of software (ERP) which helps in determining its relative ability to reach the decision goal. Thus FNM Model automates the decision making process by justifying 'Why to select one technology?' and 'Why to eliminate one technology?', which helps in benefitting the growth prospects of any organization.