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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

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  • 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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    1. June Dong & Ding Zhang & Hong Yan & Anna Nagurney, 2005. "Multitiered Supply Chain Networks: Multicriteria Decision—Making Under Uncertainty," Annals of Operations Research, Springer, vol. 135(1), pages 155-178, March.
    2. M. Larbani & P. L. Yu, 2009. "Two-Person Second-Order Games, Part 2: Restructuring Operations to Reach a Win-Win Profile," Journal of Optimization Theory and Applications, Springer, vol. 141(3), pages 641-659, June.
    3. Chen, Ting-Yu, 2002. "Expanding competence sets for the consumer decision problem," European Journal of Operational Research, Elsevier, vol. 138(3), pages 622-648, May.
    4. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
    5. P. L. Yu & C. Y. Chianglin, 2006. "Decision Traps And Competence Dynamics In Changeable Spaces," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 5-18.
    6. Chen, Ting-Yu, 2001. "Using competence sets to analyze the consumer decision problem," European Journal of Operational Research, Elsevier, vol. 128(1), pages 98-118, January.
    7. Patricia Jaramillo & Ricardo Smith & JoaquÍn Andréu, 2005. "Multi-Decision-Makers Equalizer: A Multiobjective Decision Support System for Multiple Decision-Makers," Annals of Operations Research, Springer, vol. 138(1), pages 97-111, September.
    8. Yu, Po L. & Zhang, Dazhi, 1990. "A foundation for competence set analysis," Mathematical Social Sciences, Elsevier, vol. 20(3), pages 251-299, December.
    9. Li, Jian-Ming & Chiang, Chin-I & Yu, Po-Lung, 2000. "Optimal multiple stage expansion of competence set," European Journal of Operational Research, Elsevier, vol. 120(3), pages 511-524, February.
    10. J. W. Feng & P. L. Yu, 1998. "Minimum Spanning Table and Optimal Expansion of Competence Set," Journal of Optimization Theory and Applications, Springer, vol. 99(3), pages 655-679, December.
    11. Matthias Ehrgott, 2006. "A discussion of scalarization techniques for multiple objective integer programming," Annals of Operations Research, Springer, vol. 147(1), pages 343-360, October.
    12. Lin, Chang-Chun, 2006. "Competence set expansion using an efficient 0-1 programming model," European Journal of Operational Research, Elsevier, vol. 170(3), pages 950-956, May.
    13. Yong Shi, 2001. "Multiple Criteria and Multiple Constraint Levels Linear Programming:Concepts, Techniques and Applications," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 4000, February.
    14. P. L. Yu & M. Larbani, 2009. "Two-Person Second-Order Games, Part 1: Formulation and Transition Anatomy," Journal of Optimization Theory and Applications, Springer, vol. 141(3), pages 619-639, June.
    15. James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Jyrki Wallenius & Stanley Zionts, 1992. "Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years," Management Science, INFORMS, vol. 38(5), pages 645-654, May.
    16. Ulrich Junker, 2004. "Preference-Based Search and Multi-Criteria Optimization," Annals of Operations Research, Springer, vol. 130(1), pages 75-115, August.
    17. Gang Kou & Yi Peng & Yong Shi & Morgan Wise & Weixuan Xu, 2005. "Discovering Credit Cardholders’ Behavior by Multiple Criteria Linear Programming," Annals of Operations Research, Springer, vol. 135(1), pages 261-274, March.
    18. Chieh Yow Chianglin & Tsung Chih Lai & Po Lung Yu, 2007. "Linear Programming Models With Changeable Parameters — Theoretical Analysis On "Taking Loss At The Ordering Time And Making Profit At The Delivery Time"," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 577-598.
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    2. Moussa Larbani & Po Lung Yu, 2020. "Empowering Data Mining Sciences by Habitual Domains Theory, Part I: The Concept of Wonderful Solution," Annals of Data Science, Springer, vol. 7(3), pages 373-397, September.
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