A Multi-person Decision Model for Low-Carbon Supplier Selection using Intuitionistic Preference Relations

Simple item page
dc.contributor.authorZurwa Abrar
dc.contributor.authorSP20-RMT-041
dc.contributor.authorLHR TP 7909
dc.contributor.authorDr. Atiq ur Rehman
dc.date.accessioned2026-03-13T05:50:28Z
dc.date.issued2022
dc.description.abstractIn this thesis we presented a group decision framework to solve the low carbon supplier issue by employing intuitionistic preference relations, (IOWA) intuitionistic ordered weighted averaging operators and induced intuitionistic ordered weighted averaging operator (IIOWA) We use rectification and obtain weight vector and we then rank them and get the best decision out of it.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/2784
dc.language.isoen_US
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 7909
dc.subjectDr. Atiq ur Rehman
dc.subjectsp20
dc.subjectDepartment of Mathematics
dc.subjectMathematics
dc.subjectLow-Carbon Supplier
dc.titleA Multi-person Decision Model for Low-Carbon Supplier Selection using Intuitionistic Preference Relations
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Final Thesis.pdf
Size:
647.88 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
319 B
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

M.Phil / MS