دورية أكاديمية
Implementation of Neutrosophic Function Memberships Using MATLAB Program.
| العنوان: | Implementation of Neutrosophic Function Memberships Using MATLAB Program. |
|---|---|
| المؤلفون: | Broumi, S.1 broumisaid78@gmail.com, Nagarajan, D.2 dnrmsu2002@yahoo.com, Bakali, A.3 assiabakali@yahoo.fr, Talea, M.1 taleamohamed@yahoo.fr, Smarandache, F.4 fsmarandache@gmail.com, Lathamaheswari, M.2 lathamax@gmail.com, Kavikumar, J.5 kavi@uthm.edu.my |
| المصدر: | Neutrosophic Sets & Systems. 2019, Vol. 27, p44-52. 9p. |
| مصطلحات موضوعية: | *MEMBERSHIP functions (Fuzzy logic), *NEUTROSOPHIC logic, *FUZZY logic |
| مستخلص: | Membership function (MF) plays a key role for getting an output of a system and hence it influences system's performance directly. Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is usually represented by MFs. In this paper, a novel Matlab code is derived for trapezoidal neutrosophic function and the validity of the proposed code is proved with illustrative graphical representation. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: | Academic Search Index |
| ResultId |
1 |
|---|---|
| Header |
asx Academic Search Index 137631542 1285 6 Academic Journal academicJournal 1285.08239746094 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=asx&AN=137631542&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
|
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Implementation of Neutrosophic Function Memberships Using MATLAB Program.
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Broumi%2C+S%2E%22">Broumi, S.</searchLink><relatesTo>1</relatesTo><i> broumisaid78@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Nagarajan%2C+D%2E%22">Nagarajan, D.</searchLink><relatesTo>2</relatesTo><i> dnrmsu2002@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Bakali%2C+A%2E%22">Bakali, A.</searchLink><relatesTo>3</relatesTo><i> assiabakali@yahoo.fr</i><br /><searchLink fieldCode="AR" term="%22Talea%2C+M%2E%22">Talea, M.</searchLink><relatesTo>1</relatesTo><i> taleamohamed@yahoo.fr</i><br /><searchLink fieldCode="AR" term="%22Smarandache%2C+F%2E%22">Smarandache, F.</searchLink><relatesTo>4</relatesTo><i> fsmarandache@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Lathamaheswari%2C+M%2E%22">Lathamaheswari, M.</searchLink><relatesTo>2</relatesTo><i> lathamax@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kavikumar%2C+J%2E%22">Kavikumar, J.</searchLink><relatesTo>5</relatesTo><i> kavi@uthm.edu.my</i> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => <searchLink fieldCode="JN" term="%22Neutrosophic+Sets+%26+Systems%22">Neutrosophic Sets & Systems</searchLink>. 2019, Vol. 27, p44-52. 9p. ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => *<searchLink fieldCode="DE" term="%22MEMBERSHIP+functions+%28Fuzzy+logic%29%22">MEMBERSHIP functions (Fuzzy logic)</searchLink><br />*<searchLink fieldCode="DE" term="%22NEUTROSOPHIC+logic%22">NEUTROSOPHIC logic</searchLink><br />*<searchLink fieldCode="DE" term="%22FUZZY+logic%22">FUZZY logic</searchLink> ) Array ( [Name] => Abstract [Label] => Abstract [Group] => Ab [Data] => Membership function (MF) plays a key role for getting an output of a system and hence it influences system's performance directly. Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is usually represented by MFs. In this paper, a novel Matlab code is derived for trapezoidal neutrosophic function and the validity of the proposed code is proved with illustrative graphical representation. [ABSTRACT FROM AUTHOR] ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Languages] => Array
(
[0] => Array
(
[Code] => eng
[Text] => English
)
)
[PhysicalDescription] => Array
(
[Pagination] => Array
(
[PageCount] => 9
[StartPage] => 44
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => MEMBERSHIP functions (Fuzzy logic)
[Type] => general
)
[1] => Array
(
[SubjectFull] => NEUTROSOPHIC logic
[Type] => general
)
[2] => Array
(
[SubjectFull] => FUZZY logic
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Implementation of Neutrosophic Function Memberships Using MATLAB Program.
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Broumi, S.
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Nagarajan, D.
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Bakali, A.
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Talea, M.
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Smarandache, F.
)
)
)
[5] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Lathamaheswari, M.
)
)
)
[6] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Kavikumar, J.
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 10
[Text] => 2019
[Type] => published
[Y] => 2019
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-print
[Value] => 23316055
)
)
[Numbering] => Array
(
[0] => Array
(
[Type] => volume
[Value] => 27
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Neutrosophic Sets & Systems
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |