Developing of Decision Support System for Budget Allocation of an R&d Organization

The problem of optimizing fund allocation in the public sector through performance based budgeting is a complex process. This paper considered only a very small part of this process, namely the final allocation of public funds through goal programming technique. While analyzing the last nine years of budget data in an R&D organization, it is inferred that there is wide gap between fund utilization and its allocation. The paper proposes a performance based model to assist decision makers in assessing the R&D programmes of an organization and accordingly make budget allocation in a more realistic and accurate manner than before. The model has been finally implemented using Excel spreadsheet and the same can be used as a DSS (Decision Support System) for the performance-based allocation of public funds. This study has made an approach to assess the influence of priority and risks associated with R&D programmes using Fuzzy Set Theory (FST).