Abstract
Prof. L. A. Zadeh recognized that to simulate soft knowledge of human reasoning it is essential to use some formal approach to knowledge processing. So he pioneered by taking first step by proposing a novel logic, fuzzy logic in 1965, by releasing constraints imposed on existing formalisms to accommodate important properties of natural inference. This paper targets human reasoning domain, lists the limitations of fuzzy logic in this area and suggests a new logic: neutrosophic logic. Experimental data is provided by showing the comparison between fuzzy classifier and neutrosophic classifier, finally paper is concluded with a proposal that neutrosophic logic is a better candidate to simulate human reasoning.
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