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A Novel Approach for Biometric Authentication System Using Ear, 2D Face and 3D Face Modalities Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Neutrosophic Logic Based New Methodology to Handle Indeterminacy Data for Taking Accurate Decision

Authors : Soumitra De, Jaydev Mishra

Published in: Computational Intelligence in Data Mining—Volume 1

Publisher: Springer India

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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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Metadata
Title
Neutrosophic Logic Based New Methodology to Handle Indeterminacy Data for Taking Accurate Decision
Authors
Soumitra De
Jaydev Mishra
Copyright Year
2016
Publisher
Springer India
Book
Computational Intelligence in Data Mining—Volume 1

Print ISBN: 978-81-322-2732-8

Electronic ISBN: 978-81-322-2734-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2734-2_15

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