A niche technique to manage innovation projects in ITES

The paper deals with a non-linear relationship between 3 groups of factors and one dependent variable, namely the success of innovation management of projects. A framework is created using the technique of fuzzy logic using Neural Networks and multi perceptron method. The three groups of 17 factors each are used for business users, management personnel and technical personnel, respectively. Neural Network learning procedure is applied with the help of multi perceptron back-propagating algorithm to minimize the error and a predictive model is built. Cross-validation 80:20 is used. The model shows relatively good properties both in fitting and prediction.