Abstract
We proposed a method using Neutrosophic set and data to take the most suitable decision with the help of three different members truth, indeterminacy and falsity. Neutrosophic logic is capable of handling indeterministic and inconsistent information. We have focused to draw a meaning full outcome using neutrosophic concept about the illness of a patient who is suffering from a disease. Fuzzy logic can only handle incomplete information using truth membership value. Vague logic also can handle incomplete information using truth and false membership values. It is an upgrade part of fuzzy and vague concept.
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De, S., Mishra, J. (2016). Neutrosophic Logic Based New Methodology to Handle Indeterminacy Data for Taking Accurate Decision. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 1. Advances in Intelligent Systems and Computing, vol 410. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2734-2_15
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DOI: https://doi.org/10.1007/978-81-322-2734-2_15
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