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

dc.contributor.guide	Kumar, Amit
dc.coverage.spatial
dc.creator.researcher	Kaur, Jeevan Jot
dc.date.accessioned	2024-03-27T11:17:21Z
dc.date.available	2024-03-27T11:17:21Z
dc.date.awarded	2017
dc.date.completed	2017
dc.date.registered
dc.description.abstract	In 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. newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xi, 189p.
dc.identifier.uri	http://hdl.handle.net/10603/554856
dc.language	English
dc.publisher.institution	School of Mathematics
dc.publisher.place	Patiala
dc.publisher.university	Thapar Institute of Engineering and Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Fuzzy mathematics
dc.subject.keyword	Mathematics
dc.subject.keyword	Mathematics Interdisciplinary Applications
dc.subject.keyword	Physical Sciences
dc.title	Efficient Methods to Find Maximal and Minimal Fuzzy Solution of System of Fuzzy Linear Equations and Its Variants
dc.title.alternative
dc.type.degree	Ph.D.