A general model of fuzziness measure

Fuzzy techniques are playing an increasing role in current intelligent computations and optimizations. How to reasonably describe and measure uncertain information has been becoming urgent in many practical domains such as artificial intelligence, computer techniques, optimizations and control in complex manufacturing systems. After analyzing the essence of fuzziness measures, this paper proposes the concept of fuzziness-synthesizing operator, and then obtains a general model for fuzziness measure with existing fuzziness measures as its special cases, by compounding the fuzziness-synthesizing operator and the fuzziness feature function. This helps us to find methods measuring fuzziness under distinct decision consciousness.