DEA-MCDM Approach for Ranking Decision Making Units Using OWA Aggregation Operators
| dc.contributor.author | Verma, Meenu | |
| dc.contributor.supervisor | Puri, Jolly | |
| dc.date.accessioned | 2017-09-11T08:04:15Z | |
| dc.date.available | 2017-09-11T08:04:15Z | |
| dc.date.issued | 2017-09-11 | |
| dc.description | Master of Science -Mathematics & Computing | en_US |
| dc.description.abstract | DEA is a linear programming based non-parametric technique to measure the relative efficiencies of homogeneous decision making units. It includes the literature review on efficiency and cross-efficiency in DEA also on OWA / IOWA operators using orness and minimax disparity approach. Later, different cross-efficiency formulations and their mathematical models are discussed in details. Next, it includes cross-efficiency aggregation by OWA operators. It presents properties and characteristics of OWA operator weights. In the present work, we interpreted the aforementioned decision-problem as a MCDM problem and proposed a DEA-MCDM algorithmic approach for ranking DMUs. The proposed approach is further illustrated by an application to the educational institution. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10266/4850 | |
| dc.language.iso | en | en_US |
| dc.subject | DEA,MCDM,Cross-efficiency, Ranking, Universities | en_US |
| dc.title | DEA-MCDM Approach for Ranking Decision Making Units Using OWA Aggregation Operators | en_US |
| dc.type | Thesis | en_US |