Application of linear programming to derive the local weight in the analytic hierarchy process
| dc.contributor.author | Şengül, Ümran | |
| dc.contributor.author | Eren, Miraç | |
| dc.contributor.author | Shiraz, Seyedhadi Eslamian | |
| dc.date.accessioned | 2025-01-27T18:56:20Z | |
| dc.date.available | 2025-01-27T18:56:20Z | |
| dc.date.issued | 2016 | |
| dc.department | Çanakkale Onsekiz Mart Üniversitesi | |
| dc.description.abstract | The analytic hierarchy process (AHP) has become more developed in both the areas of theory and practice. The important topic here, is how to drive the local weight vector from a pairwise reciprocal matrix. In the literature, there are several methods used to accomplish this. Most recently, Hosseinian et al. (2009) suggested the LP-GW-AHP because it obviously provides better weights. In this article, the LP-GW-AHP method is applied to multi-level decision problems, and the weights were compared with Saaty's eigenvector. According to our findings, of the LP-GW-AHP method, Saaty's eigenvector method differs slightly from that derived in the local weight values. © Copyright 2016 Inderscience Enterprises Ltd. | |
| dc.identifier.doi | 10.1504/IJOR.2016.078937 | |
| dc.identifier.endpage | 468 | |
| dc.identifier.issn | 1745-7645 | |
| dc.identifier.issue | 3 | |
| dc.identifier.scopus | 2-s2.0-84987771109 | |
| dc.identifier.scopusquality | Q4 | |
| dc.identifier.startpage | 450 | |
| dc.identifier.uri | https://doi.org/10.1504/IJOR.2016.078937 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12428/12948 | |
| dc.identifier.volume | 27 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Inderscience Publishers | |
| dc.relation.ispartof | International Journal of Operational Research | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20250125 | |
| dc.subject | A linear programming method to generate weights in the AHP | |
| dc.subject | AHP | |
| dc.subject | Analytic hierarchy process | |
| dc.subject | Eigenvector method | |
| dc.subject | EM | |
| dc.subject | Fitting performance | |
| dc.subject | FP | |
| dc.subject | Linear programming | |
| dc.subject | LP | |
| dc.subject | LP-GW-Ahp | |
| dc.subject | Operational research | |
| dc.subject | Ranking | |
| dc.title | Application of linear programming to derive the local weight in the analytic hierarchy process | |
| dc.type | Article |











