Fuzzy matrix game: A fast approach using artificial hybrid neural-net logic-gate switching circuit

Introducing neuro-fuzzy concept in decision-making problems, makes a new way artificial intelligence and expert systems. Sometimes, neural networks are used to optimize certain performances. In general, knowledge acquisition becomes difficult when problem’s variables, constraints, environment, decision maker’s attitude complex behavior encountered with. A sense of fuzziness prevails these situations, sometimes numerically linguistically. Neural (or nets) help overcome this problem. explicitly implicitly hyped draw out fuzzy rules from numerical information linguistic information. Logic-gate switching circuit mobilize the data crisp environment can be network, also. Game theory has tremendous scope making; consequently, makers’ hesitant characters play an important role it. paper, game situation is clarified under network through logic-gate with suitable example, applied future for real-life situations.