A new aggregation method for strategic decision making and its application in assignment theory

A new aggregation method for decision making is presented by using induced aggregation operators and the index of maximum and minimum level. Its main advantage is that it can assess complex reordering processes in the aggregation that represent complex attitudinal characters of the decision maker su...

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Detalles Bibliográficos
Autores: Merigó Lindahl, José M., Gil Lafuente, Anna Maria, Gil Aluja, Jaime, 1936-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/21487
Acceso en línea:https://hdl.handle.net/2445/21487
Access Level:acceso abierto
Palabra clave:Empreses
Planificació estratègica
Presa de decisions (Estadística)
Enterprises
Strategic planning
Statistical decision
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spelling A new aggregation method for strategic decision making and its application in assignment theoryMerigó Lindahl, José M.Gil Lafuente, Anna MariaGil Aluja, Jaime, 1936-EmpresesPlanificació estratègicaPresa de decisions (Estadística)EnterprisesStrategic planningStatistical decisionA new aggregation method for decision making is presented by using induced aggregation operators and the index of maximum and minimum level. Its main advantage is that it can assess complex reordering processes in the aggregation that represent complex attitudinal characters of the decision maker such as psychological or personal factors. A wide range of properties and particular cases of this new approach are studied. A further generalization by using hybrid averages and immediate weights is also presented. The key issue in this approach against the previous model is that we can use the weighted average and the ordered weighted average in the same formulation. Thus, we are able to consider the subjective attitude and the degree of optimism of the decision maker in the decision process. The paper ends with an application in a decision making problem based on the use of the assignment theory.Academic Journals2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/21487Articles publicats en revistes (Empresa)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: http://www.academicjournals.org/ajbm/abstracts/abstracts/abstracts2011/4June/Merigo%20et%20al.htmAfrican Journal of Business Management, 2011, vol. 5(11), p. 4033-4043(c) Academic Journals, 2011info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/214872026-05-27T06:46:51Z
dc.title.none.fl_str_mv A new aggregation method for strategic decision making and its application in assignment theory
title A new aggregation method for strategic decision making and its application in assignment theory
spellingShingle A new aggregation method for strategic decision making and its application in assignment theory
Merigó Lindahl, José M.
Empreses
Planificació estratègica
Presa de decisions (Estadística)
Enterprises
Strategic planning
Statistical decision
title_short A new aggregation method for strategic decision making and its application in assignment theory
title_full A new aggregation method for strategic decision making and its application in assignment theory
title_fullStr A new aggregation method for strategic decision making and its application in assignment theory
title_full_unstemmed A new aggregation method for strategic decision making and its application in assignment theory
title_sort A new aggregation method for strategic decision making and its application in assignment theory
dc.creator.none.fl_str_mv Merigó Lindahl, José M.
Gil Lafuente, Anna Maria
Gil Aluja, Jaime, 1936-
author Merigó Lindahl, José M.
author_facet Merigó Lindahl, José M.
Gil Lafuente, Anna Maria
Gil Aluja, Jaime, 1936-
author_role author
author2 Gil Lafuente, Anna Maria
Gil Aluja, Jaime, 1936-
author2_role author
author
dc.subject.none.fl_str_mv Empreses
Planificació estratègica
Presa de decisions (Estadística)
Enterprises
Strategic planning
Statistical decision
topic Empreses
Planificació estratègica
Presa de decisions (Estadística)
Enterprises
Strategic planning
Statistical decision
description A new aggregation method for decision making is presented by using induced aggregation operators and the index of maximum and minimum level. Its main advantage is that it can assess complex reordering processes in the aggregation that represent complex attitudinal characters of the decision maker such as psychological or personal factors. A wide range of properties and particular cases of this new approach are studied. A further generalization by using hybrid averages and immediate weights is also presented. The key issue in this approach against the previous model is that we can use the weighted average and the ordered weighted average in the same formulation. Thus, we are able to consider the subjective attitude and the degree of optimism of the decision maker in the decision process. The paper ends with an application in a decision making problem based on the use of the assignment theory.
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/21487
url https://hdl.handle.net/2445/21487
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: http://www.academicjournals.org/ajbm/abstracts/abstracts/abstracts2011/4June/Merigo%20et%20al.htm
African Journal of Business Management, 2011, vol. 5(11), p. 4033-4043
dc.rights.none.fl_str_mv (c) Academic Journals, 2011
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Academic Journals, 2011
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Academic Journals
publisher.none.fl_str_mv Academic Journals
dc.source.none.fl_str_mv Articles publicats en revistes (Empresa)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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