Skip to main content
Log in

Strategizing for Better Life Development Using OECD Well-being Indicators in a Hybrid Fuzzy MCDM Model

International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

Because gross domestic product is a deficient measure of well-being, designing well-being indicators has become a new international trend for informing government policies to better citizens’ lives. To facilitate achieving this goal, governments must establish sustainable, sufficient material living conditions and quality of life and attempt to understand citizens’ real needs. Given that analyzing well-being involves imprecise information, a fuzzy multiple criteria decision-making (MCDM) model is conducive to addressing the complex interrelationships among all indicators. Therefore, this paper proposes a hybrid fuzzy MCDM model that could facilitate strategizing for better life development. With aspiration levels based on the well-being indicators of the Organization for Economic Cooperation and Development, the proposed model combines the fuzzy DEMATEL technique, fuzzy DEMATEL-based analytic network process, and modified fuzzy VIKOR methods to process the interrelationships among all indicators and select the most pressing factors requiring improvement and development. A case study was used to demonstrate the effectiveness of the proposed fuzzy model. The empirical results attested that the proposed fuzzy model is superior to the traditional fuzzy model, identifying that for Taiwan, the “air pollution” criterion in the “environment” dimension is the most pressing issue to be addressed.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. Tzeng, G.H., Huang, J.J.: Multiple Attribute Decision Making: Methods and Applications. CRC Press, Boca Raton (2011)

    MATH  Google Scholar 

  2. Tzeng, G.H., Huang, J.J.: Fuzzy Multiple Objective Decision Making. CRC Press, Boca Raton (2013)

    Book  MATH  Google Scholar 

  3. Tzeng, G.H., Shen, K.Y.: New Concepts and Trends of Hybrid Multiple Criteria Decision Making. CRC Press, Boca Raton (2017)

    MATH  Google Scholar 

  4. Shen, K.Y., Hu, S.K., Tzeng, G.H.: Financial modeling and improvement planning for the life insurance industry by using a rough knowledge based hybrid MCDM model. Inf. Sci. 375, 296–313 (2017)

    Article  Google Scholar 

  5. Hsu, C.Y., Chen, K.T., Tzeng, G.H.: FMCDM with fuzzy DEMATEL approach for customers’ choice behavior model. Int. J. Fuzzy Syst. 4(4), 236–246 (2007)

    MathSciNet  Google Scholar 

  6. Lu, M.T., Tang, L.L., Tzeng, G.H.: Environmental strategic orientations for improving green innovation performance in fuzzy environment—using new fuzzy hybrid MCDM model. Int. J. Fuzzy Syst. 15(3), 297–316 (2013)

    Google Scholar 

  7. Hu, S.K., Liou, J.J.H., Chuang, Y.C., Tzeng, G.H.: New hybrid FMADM model for mobile commerce improvement. Technological and Economic Development of Economy (Accepted)

  8. Hu, S.K., Lu, M.T., Tzeng, G.H.: Improving mobile commerce adoption using a new hybrid fuzzy MADM model. Int. J. Fuzzy Syst. 17(3), 399–413 (2015)

    Article  Google Scholar 

  9. Büyüközkan, G., Çifçi, G.: A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Syst. Appl. 39(3), 2341–2354 (2012)

    Article  Google Scholar 

  10. Calabrese, A., Costa, R., Menichini, T.: Using fuzzy AHP to manage intellectual capital assets: an application to the ICT service industry. Expert Syst. Appl. 40(9), 3747–3755 (2013)

    Article  Google Scholar 

  11. Wang, Y., Jung, K.A., Yeo, G.T., Chou, C.C.: Selecting a cruise port of call location using the fuzzy-AHP method: a case study in East Asia. Tour. Manag. 42, 262–270 (2014)

    Article  Google Scholar 

  12. OECD. Compendium of OECD well-being indicators. OECD Publishing (2011). http://www.oecd.org/general/compendiumofoecdwell-beingindicators.htm

  13. Saaty, T.L.: Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh (1996)

    Google Scholar 

  14. Simon, H.A.: Theories of bounded rationality. In: McGuire, C.B., Radner, R. (eds.) Decision and Organization, pp. 161–176. North-Holland, Amsterdam (1972)

    Google Scholar 

  15. OECD: Better Policies for Better Lives. OECD Publishing (2011). http://www.oecd.org/

  16. Executive Yuan, Happiness index. Directorate-General of Budget, Accounting and Statistics, Executive Yuan, Taiwan Publishing (2016). http://happyindex.dgbas.gov.tw/main2016.htm?y=201603

  17. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 8(3), 199–249 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  18. van Laarhoven, P.J.M., Pedrycz, W.: A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst. 11(1–3), 199–227 (1983)

    MathSciNet  MATH  Google Scholar 

  19. Opricovic, S., Tzeng, G.H.: Defuzzification within a fuzzy multicriteria decision model. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11(5), 635–652 (2003)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Shu-Kung Hu or Gwo-Hshiung Tzeng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, SK., Tzeng, GH. Strategizing for Better Life Development Using OECD Well-being Indicators in a Hybrid Fuzzy MCDM Model. Int. J. Fuzzy Syst. 19, 1683–1702 (2017). https://doi.org/10.1007/s40815-017-0328-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-017-0328-8

Keywords

Navigation