Initial and Stopping Condition in Possibility Principal Factor Rotation

Uemura [1] discovered the mapping formula for Type 1 Vague events and presented an alternative problem as example of its application. Since it is well known that leads to sequential Bayesian inference, flow subsequent research was make multidimensional, introduce concept time, derive a Markov (decision) process. Furthermore, we formulated stochastic differential equations them [2]. This paper refers type 2 vague based on second-order equation. quadratic gives certain rotation named possibility principal factor by transforming non-mapping function relation between two functions. In addition, derivation Complex process initial stopping conditions in this are mentioned.