Useful Knowledge; Knowledge Policy Making for Developing the Public Interest by Fuzzy Approach

knowledge and research resources are limited and there are many research needs in the societies. The mission of science policy is the allotment of limited resources to unlimited needs in order to make the maximum benefit for society. In this approach, useful knowledge is the knowledge that can provide community benefits and solve the social problems. In this study, we try to use the content analysis and fuzzy delphi techniques to prioritize the most important factors affecting the process of useful Knowledge. However, any great difference does not exist between social, political, cultural and administrative dimensions and indicators of the science and technology, but ethical and social and cultural aspects are more sensitive, should be more concerned. Thus an important set of factors that have affect on useful knowledge are considered; like: The need to use appropriate means to involve stakeholders, the optimal use of facilities, developing of research data base and improving the educational system by Identifying the benefits of science. Therefore, the basic issue of this research is designing a policy making wisely package to guide scientific and knowledge resources, so that all scientific and research efforts focuse on national interests or solve public issues in society.