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What is Neutrosophy

Neutrosophic Sets in Decision Analysis and Operations Research
A new study concerning uncertainty phenomenon.
Published in Chapter:
A New LCS-Neutrosophic Similarity Measure for Text Information Retrieval
Misturah Adunni Alaran (Moshood Abiola Polytechnic, Abeokuta, Nigeria), AbdulAkeem Adesina Agboola (Federal University of Agriculture, Nigeria), Adio Taofiki Akinwale (Federal University of Agriculture, Nigeria), and Olusegun Folorunso (Federal University of Agriculture, Nigeria)
Copyright: © 2020 |Pages: 23
DOI: 10.4018/978-1-7998-2555-5.ch012
Abstract
The reality of human existence and their interactions with various things that surround them reveal that the world is imprecise, incomplete, vague, and even sometimes indeterminate. Neutrosophic logic is the only theory that attempts to unify all previous logics in the same global theoretical framework. Extracting data from a similar environment is becoming a problem as the volume of data keeps growing day-in and day-out. This chapter proposes a new neutrosophic string similarity measure based on the longest common subsequence (LCS) to address uncertainty in string information search. This new method has been compared with four other existing classical string similarity measure using wordlist as data set. The analyses show the performance of proposed neutrosophic similarity measure to be better than the existing in information retrieval task as the evaluation is based on precision, recall, highest false match, lowest true match, and separation.
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More Results
A Novel Neutrosophic Interpretive Structural Modeling Approach: Hierarchical Visual Graphs of Indeterminate Causalities
An extension / combination of the fuzzy logic by including the indeterminacy that is introduced by Smarandache in 1999.
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New Software for Assessing Learning Skills in Education According to Models Based on Soft Sets, Grey Numbers, and Neutrosophic Numbers
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