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Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics

dc.citation.epage201en_US
dc.citation.issue1en_US
dc.citation.volume197en_US
dc.citation.woscount5
dc.contributor.authorYu, Po-Lungen_US
dc.contributor.authorChen, Yen-Chuen_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.date.accessioned2014-12-08T15:23:47Z
dc.date.available2014-12-08T15:23:47Z
dc.date.issued2012-08-01en_US
dc.description.abstract"Human behaviors involve dynamic, evolving, interactive and adaptive processes. Important decision makings usually are dynamic, involving multiple criteria in changeable spaces. This article introduces the behavior mechanism that integrates the findings of neural science, psychology, system science, optimization theory and multiple criteria decision making. It shows how our brain and mind operate and describes our behaviors and decision making as dynamic processes of multiple criteria decision making in changeable spaces. Unless extraordinary events occur or special effort exerted, the dynamic processes will be stabilized in certain domains, known as Habitual Domains. Habitual Domains, which play a vital role in upgrading the quality of our decision making and lives, will be explored. In addition, as important consequential derivatives, concepts of Competence Set Analysis and Innovation Dynamics will also be discussed. Note that these concepts involve transitions between dynamic and static states."en_US
dc.identifier.issn0254-5330en_US
dc.identifier.journalANNALS OF OPERATIONS RESEARCHen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/16594
dc.identifier.wosnumberWOS:000307272400012
dc.language.isoen_USen_US
dc.subjectMultiple Criteria Decision Making (MCDM)en_US
dc.subjectDynamic MCDMen_US
dc.subjectDynamics of human behavioren_US
dc.subjectHabitual domainsen_US
dc.subjectCompetence set analysisen_US
dc.subjectInnovation dynamicsen_US
dc.titleDynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamicsen_US
dc.typeArticleen_US

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