EVOLUTION OF FUZZY LOGIC FOR STARTUPS BASED ON STRATEGIC FINANCIAL LOGISTICS PATTERN SELECTION METHOD (SFLPSM)

Abstract

In this paper evolution of fuzzy logic for startups based on Strategic Financial Logistics Pattern Selection method (SFLPSM) is introduced. The main intent of fuzzy logic is to display the morphology of results which help us to think efficiently based on the knowledge systems. Initially, inputs of strategic financial management planning are given. The financial management planning will divide the inputs into two parts (i.e) main financial resources and other financial resources. Now based on the variables of fuzzy logic the SFM will evaluate the rules for startups. The variables of fuzzy logic mainly consist of five types they are very high, low, medium, high and very low. By using these variables the rules for startups will be decided and evaluated. At last de-fuzzification is applied to get exact outcome. From results it can observe that lead time, reliability, flexibility, quality and capability will give effective outcomes.