A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity

So far, Salama has shown that the NLP system can be a rule-based system that can apply neutrosophical reasoning to model ambiguity and uncertainty in human language. Salama allows you to reason more than just right/wrong as traditional systems do, adding levels of right, wrong, and uncertainty. Sala...

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Main Authors: A.A. Salama, Huda E. Khalid, Ahmed K. Essa, Nadheer M. Ahmed
Format: Article
Language:English
Published: University of New Mexico 2025-05-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/44NaturalLanguage.pdf
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author A.A. Salama
Huda E. Khalid
Ahmed K. Essa
Nadheer M. Ahmed
author_facet A.A. Salama
Huda E. Khalid
Ahmed K. Essa
Nadheer M. Ahmed
author_sort A.A. Salama
collection DOAJ
description So far, Salama has shown that the NLP system can be a rule-based system that can apply neutrosophical reasoning to model ambiguity and uncertainty in human language. Salama allows you to reason more than just right/wrong as traditional systems do, adding levels of right, wrong, and uncertainty. Salama follows the structural composition of words based on finite state models such as TWOL and CG2 while using constrained grammars to handle disambiguation and contextbased ambiguity to avoid ambiguity. The system also handles words that are not in the vocabulary. This is a challenging scenario where rule-based approaches often have strengths and weaknesses. We investigate how neutrosophical reasoning can enhance the accuracy and reliability of NLP systems by evaluating their performance on tasks involving subjective information, incomplete information, and complex language features through extensive experiments.
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institution Kabale University
issn 2331-6055
2331-608X
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publishDate 2025-05-01
publisher University of New Mexico
record_format Article
series Neutrosophic Sets and Systems
spelling doaj-art-6ce7ec2a2b814b7a979713adcec5afc52025-08-25T08:48:27ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-05-018267069510.5281/zenodo.15052172A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and AmbiguityA.A. SalamaHuda E. KhalidAhmed K. EssaNadheer M. AhmedSo far, Salama has shown that the NLP system can be a rule-based system that can apply neutrosophical reasoning to model ambiguity and uncertainty in human language. Salama allows you to reason more than just right/wrong as traditional systems do, adding levels of right, wrong, and uncertainty. Salama follows the structural composition of words based on finite state models such as TWOL and CG2 while using constrained grammars to handle disambiguation and contextbased ambiguity to avoid ambiguity. The system also handles words that are not in the vocabulary. This is a challenging scenario where rule-based approaches often have strengths and weaknesses. We investigate how neutrosophical reasoning can enhance the accuracy and reliability of NLP systems by evaluating their performance on tasks involving subjective information, incomplete information, and complex language features through extensive experiments. https://fs.unm.edu/NSS/44NaturalLanguage.pdfneutrosophic logicrule-based nlpnatural language processinguncertainty handlingambiguity resolutionconstraint grammarfinite-state methodsout-of-vocabulary wordslinguistic rules
spellingShingle A.A. Salama
Huda E. Khalid
Ahmed K. Essa
Nadheer M. Ahmed
A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity
Neutrosophic Sets and Systems
neutrosophic logic
rule-based nlp
natural language processing
uncertainty handling
ambiguity resolution
constraint grammar
finite-state methods
out-of-vocabulary words
linguistic rules
title A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity
title_full A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity
title_fullStr A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity
title_full_unstemmed A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity
title_short A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity
title_sort natural language processing environment for rule based decision making with neutrosophic logic to manage uncertainty and ambiguity
topic neutrosophic logic
rule-based nlp
natural language processing
uncertainty handling
ambiguity resolution
constraint grammar
finite-state methods
out-of-vocabulary words
linguistic rules
url https://fs.unm.edu/NSS/44NaturalLanguage.pdf
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