IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v197y2012i1p201-22010.1007-s10479-010-0750-x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-010-0750-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-010-0750-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Yu, Po L. & Zhang, Dazhi, 1990. "A foundation for competence set analysis," Mathematical Social Sciences, Elsevier, vol. 20(3), pages 251-299, December.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Ulrich Junker, 2004. "Preference-Based Search and Multi-Criteria Optimization," Annals of Operations Research, Springer, vol. 130(1), pages 75-115, August.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chi-Yo Huang & Jih-Jeng Huang & You-Ning Chang & Yen-Chu Lin, 2021. "A Fuzzy-MOP-Based Competence Set Expansion Method for Technology Roadmap Definitions," Mathematics, MDPI, vol. 9(2), pages 1-26, January.
    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.
    3. Tobias Witt & Matthias Klumpp, 2021. "Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    4. Xinwei Ye & Lei Ma & Junwen Feng & Yang Cheng & Zheng Liu, 2018. "Impact of Technology Habitual Domain on Ambidextrous Innovation: Case Study of a Chinese High-Tech Enterprise," Sustainability, MDPI, vol. 10(12), pages 1-21, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Kushtina, Emma & Zaikin, Oleg & Rzewski, Przemyslaw & Malachowski, Bartlomiej, 2009. "Cost estimation algorithm and decision-making model for curriculum modification in educational organization," European Journal of Operational Research, Elsevier, vol. 197(2), pages 752-763, September.
    3. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
    4. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
    5. Moussa Larbani & Po Lung Yu, 2012. "Decision Making and Optimization in Changeable Spaces, a New Paradigm," Journal of Optimization Theory and Applications, Springer, vol. 155(3), pages 727-761, December.
    6. Kuan-Wei Huang & Jen-Hung Huang & Gwo-Hshiung Tzeng, 2016. "New Hybrid Multiple Attribute Decision-Making Model for Improving Competence Sets: Enhancing a Company’s Core Competitiveness," Sustainability, MDPI, vol. 8(2), pages 1-26, February.
    7. Dimitris Bertsimas & Allison O'Hair, 2013. "Learning Preferences Under Noise and Loss Aversion: An Optimization Approach," Operations Research, INFORMS, vol. 61(5), pages 1190-1199, October.
    8. Yoichiro Fujii & Hajime Murakami & Yutaka Nakamura & Kazuhisa Takemura, 2023. "Multiattribute regret: theory and experimental study," Theory and Decision, Springer, vol. 95(4), pages 623-662, November.
    9. Wenshuai Wu & Yi Peng, 2016. "Extension of grey relational analysis for facilitating group consensus to oil spill emergency management," Annals of Operations Research, Springer, vol. 238(1), pages 615-635, March.
    10. Wenshuai Wu & Yi Peng, 2016. "Extension of grey relational analysis for facilitating group consensus to oil spill emergency management," Annals of Operations Research, Springer, vol. 238(1), pages 615-635, March.
    11. Wikil Kwak & Yong Shi & Gang Kou, 2012. "Bankruptcy prediction for Korean firms after the 1997 financial crisis: using a multiple criteria linear programming data mining approach," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 441-453, May.
    12. Chi-Yo Huang & Jih-Jeng Huang & You-Ning Chang & Yen-Chu Lin, 2021. "A Fuzzy-MOP-Based Competence Set Expansion Method for Technology Roadmap Definitions," Mathematics, MDPI, vol. 9(2), pages 1-26, January.
    13. Shoubin Qi & Junwen Feng, 2018. "A Revised Minimum Spanning Table Method for Expanding Competence Sets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 7(2), pages 40-45, June.
    14. 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.
    15. T. Q. Bao & B. S. Mordukhovich & A. Soubeyran, 2015. "Variational Analysis in Psychological Modeling," Journal of Optimization Theory and Applications, Springer, vol. 164(1), pages 290-315, January.
    16. Carolina Almeida & Richard Gonçalves & Elizabeth Goldbarg & Marco Goldbarg & Myriam Delgado, 2012. "An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem," Annals of Operations Research, Springer, vol. 199(1), pages 305-341, October.
    17. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    18. Ming Hung Lin & Mei Hua Huang & Wan Chun Hsiung, 2014. "The Learning Feature of Deep Knowledge and Its Relationship With Exercise," SAGE Open, , vol. 4(2), pages 21582440145, May.
    19. M. Larbani & P. L. Yu, 2011. "n-Person Second-Order Games: A Paradigm Shift in Game Theory," Journal of Optimization Theory and Applications, Springer, vol. 149(3), pages 447-473, June.
    20. Alessandro Golkar & Edward F. Crawley, 2014. "A Framework for Space Systems Architecture under Stakeholder Objectives Ambiguity," Systems Engineering, John Wiley & Sons, vol. 17(4), pages 479-502, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:197:y:2012:i:1:p:201-220:10.1007/s10479-010-0750-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.