Negative proposition is an important representation in mathematical logic and a key tool to describe information in intelligent information processing.Z-number is a new representation of uncertain language information.The research on negation is reviewed,and the application of negation of possibility distribution in Z-number theory is introduced.By means of maximum Shannon entropy and particle swarm optimization algorithm,an optimization model is proposed to discover the hidden possibility distribution in Z-number.The research shows that Z-number negation provides an effective tool for language decision analysis and solving complex problems.
关键词
Z-number/最大香农熵算法/粒子群优化算法/TOPSIS多属性决策
Key words
Z-number/maximum Shannon entropy algorithm/particle swarm optimization algorithm/TOPSIS multi-attribute decision making
维普
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