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dc.contributor.authorPérez-Domínguez, Luis
dc.date.accessioned2019-01-11T18:01:47Z
dc.date.available2019-01-11T18:01:47Z
dc.date.issued2018-09-27
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/5664
dc.description.abstractA supplier appraisal is a fundamental task within the supply chain management field; and, basically, it can be considered a multi-criteria decision-making problem. The main objective of this paper is to develop an application to support the supplier selection process. This paper presents supplier selection with TOPSIS method and Pythagorean fuzzy sets. In this sense, the decision makers express their opinions' assessments about the criteria and alternatives involved in the evaluation using linguistic terms that are represented by Pythagorean fuzzy numbers. Likewise, the importance of each decision maker and criteria are considered. The alternatives under evaluation are compared with the ideal solution and anti-ideal solution to generate an index of similarity. At the same time, we are proposing a systematic manner to consider fuzzy and non- fuzzy criteria involved in the decision-making scenery. A numerical example focused on supplier selection is presented to illustrate the resultses_MX
dc.language.isoenes_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectVendor selection; multi-criteria decision making; TOPSIS; Pythagorean Fuzzy Sets.es_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleSupplier Appraisal using TOPSIS under Pythagorean Fuzzy Setses_MX
dc.typeMemoria en abstractes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.png
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.subtipoInvestigaciónes_MX
dcrupi.alcanceInternacionales_MX
dcrupi.paisPerúes_MX
dc.contributor.coauthorMartinez Gomez, Erwin Adan
dcrupi.tipoeventoCongresoes_MX
dcrupi.eventoCLAIO XIX Latin-Iberoamerican Conference on Operations Researches_MX
dcrupi.estadoLimaes_MX
dc.lgacCalidad y Mejoramiento Continuoes_MX
dc.cuerpoacademicoCalidad y Optimizaciónes_MX


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