Construction and Optimization of Intention Recognition Model Based on IFPN

摘要

A model based on intuition fuzzy petri nets (IFPN) aiming at the dynamic and uncertain problem of tactical intention recognition is proposed and the parameters are optimized. Firstly, the author describes the situation characteristics and intention patterns of Intuitionistic Fuzzy Sets, constructs a intuitionistic fuzzy rules-table and extracts logic relation and decision-making rules; accordingly, an algorithm of rules extraction is given, and the IFPN model of intention recognition is formed. In order to improve rational precision, the error back propagation (BP) algorithm is introduced to the parameters-optimized process of IFPN. Finally, the feasibility and validity of the proposed algorithms are presented by an instance.