UNCERTAIN INFORMATION MEASURE SYSTEM BASED ON F⊕S FUZZINESS DEGREE

In view of unclear structure features and poor system for current fuzziness metric, we proposed a kind of F circle plus S fuzziness metric model containing the existing metric methods by combining fuzziness feature function with fuzziness synthesizing operator; we also give the quantitative structural model of fuzziness feature function based on quasi-linear fuzzy function and the synthesizing operator structural model based on measure theory; then we give the application of F circle plus S fuzziness metric by combining a comprehensive evaluation problem. All results indicate that F circle plus S metric not only possesses better operability, but also can merge decision consciousness effectively into information processing. So it can be widely used in many fields such as complex system optimization and artificial intelligent.