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

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  • Po-Lung Yu
  • Yen-Chu Chen

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. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Po-Lung Yu & Yen-Chu Chen, 2012. "Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics," Annals of Operations Research, Springer, vol. 197(1), pages 201-220, August.
    • Handle: RePEc:spr:annopr:v:197:y:2012:i:1:p:201-220:10.1007/s10479-010-0750-x
    DOI: 10.1007/s10479-010-0750-x
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