The Multi-Objective Optimization Ratio Analysis (MOORA) in Uncertainty Environment
| dc.contributor.author | Hosseinzadeh Lotfi, F. | |
| dc.contributor.author | Allahviranloo, T. | |
| dc.contributor.author | Pedrycz, W. | |
| dc.contributor.author | Shahriari, M. | |
| dc.contributor.author | Sharafi, H. | |
| dc.contributor.author | Razipour, GhalehJough, S. | |
| dc.date.accessioned | 2024-05-19T14:34:24Z | |
| dc.date.available | 2024-05-19T14:34:24Z | |
| dc.date.issued | 2023 | |
| dc.department | İstinye Üniversitesi | en_US |
| dc.description.abstract | This chapter explores the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method as a powerful tool for solving multi-criteria problems. The MOORA method provides a systematic approach to decision-making by considering multiple criteria and their relative importance. Through an example from the real world, the application of the MOORA method is demonstrated, highlighting its effectiveness in ranking alternatives and aiding decision-making processes. Furthermore, this chapter discusses the extension of the MOORA method in fuzzy environment. Incorporating fuzzy sets and fuzzy numbers, enables the MOORA method accommodate vague and subjective assessments of criteria and alternatives. A real-world example is presented to showcase the application of the fuzzy MOORA method and illustrate its advantages and limitations in dealing with fuzzy data. Additionally, preferential voting has been used for aggregating the rankings. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. | en_US |
| dc.identifier.doi | 10.1007/978-3-031-44742-6_14 | |
| dc.identifier.endpage | 344 | en_US |
| dc.identifier.issn | 1860-949X | |
| dc.identifier.scopus | 2-s2.0-85184724197 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 325 | en_US |
| dc.identifier.uri | https://doi.org/10.1007/978-3-031-44742-6_14 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12713/4477 | |
| dc.identifier.volume | 1121 | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
| dc.relation.ispartof | Studies in Computational Intelligence | en_US |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.snmz | 20240519_ka | en_US |
| dc.title | The Multi-Objective Optimization Ratio Analysis (MOORA) in Uncertainty Environment | en_US |
| dc.type | Book Chapter | en_US |
