On normal fuzzy reasoning and fuzzy moves

By merging the theory of moves (TOM) and the fuzzy set theory, we have developed the theory of fuzzy moves (TFM) to make better fuzzy moves for fuzzy games. Since the data granularity of conventionally used fuzzy sets is too low to contain more heuristic information and mined knowledge, so we take primary fuzzy sets with higher data granularity as fundamental elements for fuzzy reasoning so as to make more reasonable moves. The simulation results have indicated that TFM with normal fuzzy reasoning can make better and more reasonable moves than TOM with precise reasoning since different global strategies are taken into account by TFM.