A self-learning fuzzy inference for truth discovery framework

Knowledge discovery from massive business data is a nontrivial research issue. A generalized framework to guide knowledge discovery process is necessary to improve its efficiency and effectiveness. This paper proposes a framework to relate certainty factor to an absolute factor hereafter called alpha (alpha) factor. Alpha factor represents the magnitude of useful local knowledge that is extracted from raw data in a fuzzy inference system also its correctness in relate to a global knowledge. The concept of alpha, alpha, is explained with mathematical illustration and a research design. Three specific case studies are included to illustrate the use of the proposed self-learning framework for true discovery.