Situation Based Fuzzy Multi Objective Optimization Techniques By The Utility Of Diverse Fuzzy Numbers

dc.contributor.guide	Kumar, Rakesh
dc.coverage.spatial
dc.creator.researcher	Pinki
dc.date.accessioned	2025-11-24T05:20:17Z
dc.date.available	2025-11-24T05:20:17Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2021
dc.description.abstract	newline Multi-objective linear programming problems (MOLPP) are a decision-making tool in many real-world disciplines, such as distribution, production, economics, and ecology. Uncertainty in data makes optimization problems more challenging to resolve since they become fuzzy optimization problems. In this thesis, we look at how well different approaches work in different situations when it comes to addressing fuzzy multi-objective linear programming problems (FMOLPPs).
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/675568
dc.language	English
dc.publisher.institution	Faculty of Technology and Sciences
dc.publisher.place	Phagwara
dc.publisher.university	Lovely Professional University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Mathematics
dc.subject.keyword	Mathematics Interdisciplinary Applications
dc.subject.keyword	Physical Sciences
dc.title	Situation Based Fuzzy Multi Objective Optimization Techniques By The Utility Of Diverse Fuzzy Numbers
dc.title.alternative
dc.type.degree	Ph.D.