A New Model for the selection of Information Technology Project in a Neutrosophic Environment

Abstract

. Usually, companies confront the difficulty to make the best decision about the way to invest their recourses in different project alternatives. The company acquires competitive advantages when their software development projects are well evaluated and correctly selected. Selecting projects in the Information Technology field presents challenges in many senses; e.g., the difficulty that entails assessing intangible benefits, projects are interdependent and companies impose self-constraints. In addition, the framework to make the decision is generally uncertain with many unknown factors. This paper aims to propose a model that integrates methods, techniques and tools such as the Balanced Scorecard Model, neutrosophic Analytic Hierarchy Process and zero-one linear programming. The proposed model is designed to select the best portfolio of Information Technology projects, it overcomes the ob-stacles mentioned above and can be coherently incorporated in the strategic plan process of any company. In addition, it eases the course of experts’ decision making, because it is based on Neutrosophy and hence incorporates the indeterminacy term. Neutrosophic sets extend classical sets, fuzzy sets and intuitionistic fuzzy sets.. Fuzzy set models are based on the degree of membership of an element to a set. It has been applied in many areas of knowledge, including decision making.