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Categorization is a significant task in decision-making, which is a key partof human behavior. An interference effect is caused by categorization in somecases, which breaks the total probability principle. A negation quantum model(NQ model) is developed in this article to predict the interference. Taking theadvantage of negation to bring more information in the distribution from adifferent perspective, the proposed model is a combination of the negation of aprobability distribution and the quantum decision model. Information of thephase contained in quantum probability and the special calculation method to itcan easily represented the interference effect. The results of the proposed NQmodel is closely to the real experiment data and has less error than theexisted models.

A Negation Quantum Decision Model to Predict the Interference Effect in Categorization