Efficient Methods to Find Maximal and Minimal Fuzzy Solution of System of Fuzzy Linear Equations and Its Variants

dc.contributor.authorKaur, Jeevan Jot
dc.contributor.supervisorKumar, Amit
dc.date.accessioned2018-05-16T07:35:28Z
dc.date.available2018-05-16T07:35:28Z
dc.date.issued2018-05-16
dc.departmentMathematicsENG
dc.description.abstractIn this thesis, limitations as well as flaws of all the existing methods to find maximal and minimal fuzzy solution of the system of fuzzy linear equations and its variants are pointed out. Furthermore, to overcome the limitations as well as to resolve the flaws of the existing methods, new methods (named as Mehar-Keerat methods) are proposed to find the maximal and minimal fuzzy solution of the system of fuzzy linear equations and its variants.en_US
dc.identifier.urihttp://hdl.handle.net/10266/5010
dc.language.isoenen_US
dc.subjectLinear Euationsen_US
dc.subjectMaximal Fuzzy Solutionen_US
dc.subjectMinimal Fuzzy Solutionen_US
dc.subjectfuzzy numberen_US
dc.subjectcomplex fuzzy numberen_US
dc.titleEfficient Methods to Find Maximal and Minimal Fuzzy Solution of System of Fuzzy Linear Equations and Its Variantsen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
5010.pdf
Size:
3.65 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.03 KB
Format:
Item-specific license agreed upon to submission
Description: