Neutrosophic Logic Approach for Evaluating Learning Management Systems

Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncertain knowledge representation and analysis in expert systems is one of the challenges that takes researchers concern as different uncertainty types which are imprecision, vagueness, ambiguity, and incon...

Full description

Bibliographic Details
Main Authors:	Nouran Radwan, M. Badr Senousy, Alaa El Din M. Riad
Format:	Article
Language:	English
Published:	University of New Mexico 2016-08-01
Series:	Neutrosophic Sets and Systems
Subjects:	Uncertainty Expert System
Online Access:	http://fs.gallup.unm.edu/NSS/NeutrosophicLogicApproach.pdf

id	doaj-91168546cd4c4816b6067a0104f98294
record_format	Article
spelling	doaj-91168546cd4c4816b6067a0104f982942020-11-25T00:45:24ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2016-08-011137Neutrosophic Logic Approach for Evaluating Learning Management SystemsNouran RadwanM. Badr SenousyAlaa El Din M. RiadUncertainty in expert systems is essential research point in artificial intelligence domain. Uncertain knowledge representation and analysis in expert systems is one of the challenges that takes researchers concern as different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models. This paper reviews some of the multivalued logic models which are fuzzy set, intuitionistic fuzzy set, and suggests a new approach which is neutrosophic set for handling uncertainty in expert systems to derive decisions. http://fs.gallup.unm.edu/NSS/NeutrosophicLogicApproach.pdfUncertaintyExpert System
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Nouran Radwan M. Badr Senousy Alaa El Din M. Riad
spellingShingle	Nouran Radwan M. Badr Senousy Alaa El Din M. Riad Neutrosophic Logic Approach for Evaluating Learning Management Systems Neutrosophic Sets and Systems Uncertainty Expert System
author_facet	Nouran Radwan M. Badr Senousy Alaa El Din M. Riad
author_sort	Nouran Radwan
title	Neutrosophic Logic Approach for Evaluating Learning Management Systems
title_short	Neutrosophic Logic Approach for Evaluating Learning Management Systems
title_full	Neutrosophic Logic Approach for Evaluating Learning Management Systems
title_fullStr	Neutrosophic Logic Approach for Evaluating Learning Management Systems
title_full_unstemmed	Neutrosophic Logic Approach for Evaluating Learning Management Systems
title_sort	neutrosophic logic approach for evaluating learning management systems
publisher	University of New Mexico
series	Neutrosophic Sets and Systems
issn	2331-6055 2331-608X
publishDate	2016-08-01
description	Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncertain knowledge representation and analysis in expert systems is one of the challenges that takes researchers concern as different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models. This paper reviews some of the multivalued logic models which are fuzzy set, intuitionistic fuzzy set, and suggests a new approach which is neutrosophic set for handling uncertainty in expert systems to derive decisions.
topic	Uncertainty Expert System
url	http://fs.gallup.unm.edu/NSS/NeutrosophicLogicApproach.pdf
work_keys_str_mv	AT nouranradwan neutrosophiclogicapproachforevaluatinglearningmanagementsystems AT mbadrsenousy neutrosophiclogicapproachforevaluatinglearningmanagementsystems AT alaaeldinmriad neutrosophiclogicapproachforevaluatinglearningmanagementsystems
_version_	1725270354735136768

Neutrosophic Logic Approach for Evaluating Learning Management Systems

Similar Items