Skip to main content
SpringerLink
Log in

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

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Alinsky, S. D. (1972). Rules for radicals. New York: Vintage Books.

    Google Scholar 

  • Chan, S. J., & Yu, P. L. (1985). Stable habitual domains: existence and implication. Journal of Mathematical Analysis and Application, 110(2), 469–482.

    Article  Google Scholar 

  • Chan, S. J., Park, C. W., & Yu, P. L. (1982). High stake decision making—an empirical study based on house purchase processes. Human Systems Management, 3(2), 91–106.

    Google Scholar 

  • Chen, T. Y. (2001). Using competence sets to analyze the consumer decision problem. European Journal of Operational Research, 128(1), 98–118.

    Article  Google Scholar 

  • Chen, T. Y. (2002). Expanding competence sets for the consumer decision problem. European Journal of Operational Research, 138(3), 622–648.

    Article  Google Scholar 

  • ChiangLin, C. Y., & Yu, P. L. (2007). Calculation of created values through cooperation using linear programming. Journal of Management, 24(1), 61–73.

    Google Scholar 

  • ChiangLin, C. Y., Lai, C. C., & Yu, P. L. (2007). 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 and Decision Making, 6(4), 577–598.

    Article  Google Scholar 

  • Dong, J., Zhang, D., Yan, H., & Nagurney, A. (2005). Multitiered supply chain networks: multicriteria decision-making under uncertainty. Annals of Operations Research, 135(1), 155–178.

    Article  Google Scholar 

  • Dyer, J. S., Fishburn, P. C., Steuer, R. E., Wallenius, J., & Zionts, S. (1992). Multiple criteria decision making, multiattribute utility theory: the next ten years. Management Science, 38(5), 645–654.

    Article  Google Scholar 

  • Ehrgott, M. (2006). A discussion of scalarization techniques for multiple objective integer programming. Annals of Operations Research, 147(1), 343–360.

    Article  Google Scholar 

  • Feng, J. W., & Yu, P. L. (1998). Minimum spanning table and optimal expansion of competence set. Journal of Optimization Theory and Applications, 99(3), 655–679.

    Article  Google Scholar 

  • Hu, Y. C., Chen, R. S., & Tzeng, G. H. (2002). Generating learning sequences for decision makers through data mining and competence set expansion. IEEE Transactions on Systems, Man, and Cybernetics, 32(5), 679–686.

    Article  Google Scholar 

  • Hu, Y. C., Tzeng, G. H., & Chen, C. M. (2004). Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining. Information Sciences, 159(1), 69–86.

    Article  Google Scholar 

  • Huang, G. T., Wang, H. F., & Yu, P. L. (2004). Exploring multiple optimal solutions of competence set expansion using minimum spanning table method. In Proceedings of the 11th conference on habitual domains (pp. 163–175). HsinChu, Taiwan.

  • Huang, J. J., Ong, C. S., & Tzeng, G. H. (2006). Optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithms. Expert Systems with Applications, 30(4), 739–745.

    Article  Google Scholar 

  • Jaramillo, P., Smith, R., & Andreu, J. (2005). Multi-decision-makers equalizer: a multiobjective decision support system for multiple decision-makers. Annals of Operations Research, 138(1), 97–111.

    Article  Google Scholar 

  • Junker, U. (2004). Preference-based search and multi-criteria optimization. Annals of Operations Research, 130(1), 75–115.

    Article  Google Scholar 

  • Lai, C. C., Chiang-Lin, C. Y., & Yu, P. L. (2007). Optimal competence set adjustment with linear programming. Taiwanese Journal of Mathematics, 12(11), 2045–2062.

    Google Scholar 

  • Larbani, M., & Yu, P. L. (2009). Two-person second-order games, Part 2: Restructuring operations to reach a win-win profile. Journal of Optimization Theory and Applications, 141(3), 641–659.

    Article  Google Scholar 

  • Li, H. L., & Yu, P. L. (1994). Optimal competence set expansion using deduction graphs. Journal of Optimization Theory and Applications, 80(1), 75–91.

    Article  Google Scholar 

  • Li, J. M., Chiang, C. I., & Yu, P. L. (2000). Optimal multiple state expansion of competence set. European Journal of Operational Research, 120(3), 511–524.

    Article  Google Scholar 

  • Lin, C. C. (2006). Competence set expansion using an efficient 0-1 programming model. European Journal of Operational Research, 170(3), 950–956.

    Article  Google Scholar 

  • Kou, G., Peng, Y., Shi, Y., Wise, M., & Xu, W. (2005). Discovering credit cardholders’ behavior by multiple criteria linear programming. Annals of Operations Research, 135(1), 261–274.

    Article  Google Scholar 

  • Shee, D. Y. (2006). An analytic framework for competence set expansion: lessons learned from an SME. Total Quality Management & Business Excellence, 17(8), 981–997.

    Article  Google Scholar 

  • Shi, D. S., & Yu, P. L. (1996). Optimal expansion and design of competence set with asymmetric acquiring costs. Journal of Optimal Theory and Applications, 88(3), 643–658.

    Article  Google Scholar 

  • Shi, Y. (2001). Multiple criteria multiple constraint-level ( MC 2 ) linear programming: concepts, techniques and applications. Singapore: World Scientific.

    Google Scholar 

  • Wallenius, J., Dyer, J., Fishburn, P., Steuer, R., Zionts, S., & Kalyanmoy, D. (2008). Multiple criteria decision making; multiattribute utility theory: recent accomplishments and what lies ahead. Management Science, 54(7), 1336–1349.

    Article  Google Scholar 

  • Yu, P. L. (1977). Decision dynamics, with an application to persuasion and negotiation. In M.K. Starr & M. Zeleny (Eds.), Studies in the management science (Vol. 6, pp. 159–177). Amsterdam: North Holland.

    Google Scholar 

  • Yu, P. L. (1980). Behavior bases and habitual domains of human decision/behavior—concepts and applications. In G. Fandel, & T. Gal (Eds.), Multiple criteria decision-making, theory and applications (pp. 511–539). New York: Springer.

    Chapter  Google Scholar 

  • Yu, P. L. (1981). Behavior bases and habitual domains of human decision/behavior—an integration of psychology, optimization theory and common wisdom. International Journal of Systems, Measurement and Decisions, 1(1), 39–62.

    Google Scholar 

  • Yu, P. L. (1985). Multiple criteria decision making: concepts, techniques and extensions. New York: Plenum Press.

    Google Scholar 

  • Yu, P. L. (1989). Understanding behaviors and forming winning strategies. Monograph, School of Business, University of Kansas.

  • Yu, P. L. (1990). Forming winning strategies, an integrated theory of habitual domains. Berlin: Springer.

    Google Scholar 

  • Yu, P. L. (1991). Habitual domains. Operations Research, 39(6), 869–876.

    Article  Google Scholar 

  • Yu, P. L. (1995). Habitual domains: freeing yourself from the limits on your life. Kansas City: Highwater Editions.

    Google Scholar 

  • Yu, P. L. (2002). Habitual domains and forming winning strategies. Hsin Chu: NCTU Press.

    Google Scholar 

  • Yu, P. L., & Zhang, D. (1989). Competence set analysis for effective decision making. Control Theory and Advanced Technology, 5(4), 523–547.

    Google Scholar 

  • Yu, P. L., & Zhang, D. (1990). A foundation for competence set analysis. Mathematical Social Sciences, 20(3), 251–299.

    Article  Google Scholar 

  • Yu, P. L., & Zhang, D. (1993). A marginal analysis for competence set expansion. Journal of Optimization Theory and Applications, 76(1), 87–109.

    Article  Google Scholar 

  • Yu, P. L., & ChiangLin, C. Y. (2006). Decision traps and competence dynamics in changeable spaces. International Journal of Information Technology and Decision Making, 5(1), 5–18.

    Article  Google Scholar 

  • Yu, P. L., & Larbani, M. (2009). Two-person second-order games, Part 1: Formulation and transition anatomy. Journal of Optimization Theory and Applications, 141(3), 619–639.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Information Management, National Chiao Tung University, 1001, Ta Hsueh Road, HsinChu City, Taiwan

    Po-Lung Yu & Yen-Chu Chen

  2. School of Business, University of Kansas, Lawrence, KS, USA

    Po-Lung Yu

  3. Dept. of Information Management, Hsiuping Institute of Technology, 11, Gongye Road, Dali City, Taichung County, Taiwan

    Yen-Chu Chen

Authors
  1. Po-Lung Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yen-Chu Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Po-Lung Yu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, PL., Chen, YC. Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics. Ann Oper Res 197, 201–220 (2012). https://doi.org/10.1007/s10479-010-0750-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-010-0750-x

Keywords

Search

Navigation