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Shannon’s entropy method to find weights of objectives in sectorization problem

dc.contributor.authorTeymourifar, Aydin
dc.contributor.authorRodrigues, Ana Maria
dc.contributor.authorFerreira, José Soeiro
dc.date.accessioned2022-09-16T14:07:15Z
dc.date.available2022-09-16T14:07:15Z
dc.date.issued2021
dc.description.abstractOne of the most widely used methods in multi-objective optimization problems is the weighted sum method. However, in this method, defining the weights of objectives is always a challenge. Various methods have been suggested to achieve the weights, one of which is Shannon’s entropy method. In this study, a bi-objective model is introduced to solve the sectorization problem. As a solution method, the model is transformed into two single-objective ones. Also, the bi-objective model is solved for the case where the weights are equal to one. The gained three results from a benchmark are supposed as alternatives in a decision matrix. After the limitation of this approach appears, solutions from different benchmarks are added to the matrix. With Shannon’s entropy method, the weights of the objective functions are got from the decision matrix. The limitations of the approach and possible causes are discussed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.isbn978605XXXXX21
dc.identifier.urihttp://hdl.handle.net/10400.14/38917
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.subjectShannon’s entropy methodpt_PT
dc.subjectSectorizationpt_PT
dc.subjectMulti-objective optimizationpt_PT
dc.subjectWeighted sum methodpt_PT
dc.titleShannon’s entropy method to find weights of objectives in sectorization problempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage65pt_PT
oaire.citation.startPage62pt_PT
oaire.citation.title6th International Mediterranean Science and Engineering Congress (IMSEC 2021): proceedings bookpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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