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

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dc.contributor.author Abrar, Zurwa
dc.date.accessioned 2024-04-22T09:04:30Z
dc.date.available 2024-04-22T09:04:30Z
dc.date.issued 2024-01-01
dc.identifier.uri http://repository.cuilahore.edu.pk/xmlui/handle/123456789/4071
dc.description.abstract In 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. en_US
dc.publisher Mathematics COMSATS University Islamabad Lahore Campus en_US
dc.relation.ispartofseries CIIT/SP20-RMT-041/LHR;7909
dc.subject A Multi-person Decision Model for Low-Carbon Supplier Selection using Intuitionistic Preference Relation en_US
dc.title A Multi-person Decision Model for Low-Carbon Supplier Selection using Intuitionistic Preference Relations en_US
dc.type Thesis en_US


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  • Thesis - MS / PhD
    This collection containts the Ms/PhD theses of the studetns of Mathematics Department

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