Skip to main content
SpringerLink
Log in
Book cover

International Conference on Natural Computation

ICNC 2005: Advances in Natural Computation pp 1290–1299Cite as

A Fuzzy Multi-criteria Decision Making Model for the Selection of the Distribution Center

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3612))

Abstract

The location selection of distribution is one of the most important decision issues for logistic managers. In order to encompass vagueness in decision data, a new fuzzy multiple criteria decision-making method is proposed to solve the distribution center selection problem under fuzzy environment. In the proposed method, the ratings of alternatives and the weights of the criteria are given in terms of linguistic variables which is in turns represented by triangular fuzzy numbers.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aikens, C.H.: Facility location models for distribution planning. European J. Poer. Res. 22, 263–279 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  2. Baas, S.M., Kwakernaak, H.: Rating and ranking of multiple-aspect alternatives using fuzzy sets. Automatica 13, 47–58 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  3. Bortolan, G., Degani, R.: A review of some methods for ranking fuzzy subsets. Fuzzy Sets and Systems 15, 1–19 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  4. Bowersox, D.J., Closs, D.J.: Logistical Management - The Integrated Supply Chain Process. McGraw-Hill, Singapore (1996)

    Google Scholar 

  5. Chang, W.: Ranking of fuzzy utilities with triangular membership functions. In: Proc. Internat. Conf. on Policy Analysis and Information Systems, pp. 263–272 (1981)

    Google Scholar 

  6. Chen, S.: Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Sets and Systems 17, 113–129 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  7. Dahlberg, M.D., May, J.H.: Linear programming for sitting of energy facilities. J. Energy Eng., 5–14 (1908)

    Google Scholar 

  8. Delgado, M., Verdegay, J.L., Vila, M.A.: A procedure for ranking fuzzy numbers using fuzzy relations. Fuzzy Sets and Systems 26, 49–62 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  9. Dubois, D., Prade, H.: Ranking fuzzy numbers in the setting of possibility theory. Inform. Sci. 30, 183–224 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  10. Dyer, J.S., Fishburn, P.C., Steuer, R.E., Wallenius, J., Zionts, S.: Multiple criteria decision making, Multiattribute utility theory: The next ten years. Management Sci. 38(5), 645–654 (1992)

    Article  MATH  Google Scholar 

  11. Hodder, J.E., Dincer, M.C.: A multifactor model for international plant location and financing under uncertainty. Comput. & Oper. Res. 13(5), 601–609 (1986)

    Article  MATH  Google Scholar 

  12. Hwang, C.L., Yoon, K.: Multiple Attributes Decision Making Methods and Applications. Springer, Heidelberg (1981)

    Google Scholar 

  13. Lee, H.-S.: A new fuzzy ranking method based on fuzzy preference relation. In: 2000 IEEE International Conference on Systems, Man And Cybernetics, pp. 3416–3420 (2001)

    Google Scholar 

  14. Lee, H.-S.: Optimal consensus of fuzzy opinions under group decision making environment. Fuzzy Sets and Systems 132, 303–315 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  15. Lee, H.-S.: An Extended Fuzzy Preference Relation for Comparison of Fuzzy Numbers. In: The 6h World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, USA, July 14-18, pp. XI 76–XI 79 (2002)

    Google Scholar 

  16. Lee, H.-S.: On fuzzy preference relation in group decision making. International Journal of Computer Mathematics 82(2), 133–140 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  17. Nakamura, K.: Preference relations on a set of fuzzy utilities as a basis for decison making. Fuzzy Sets and Systems 20, 147–162 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  18. Spohrer, G.A., Kmak, T.R.: Qualitative analysis used in evaluating alternative plant location scenarios. Indust. Eng., 52–56 (August 1984)

    Google Scholar 

  19. Stevenson, W.J.: Production/Operations Management. Richard D. Irwin Inc., Illinois (1993)

    Google Scholar 

  20. Sule, D.R.: Manufacturing Facility; Location, Planning and Design. PWS Publishing, Boston (1994)

    Google Scholar 

  21. Teghem Jr., J., Delhaye, C., Kunsch, P.L.: An interactive decision support system (IDSS) for multicriteria decision aid. Math. Comput. Modeling 12(10/11), 1311–1320 (1989)

    Article  Google Scholar 

  22. Tompkins, J.A., White, J.A.: Facilities Planning. Wiley, New York (1984)

    Google Scholar 

  23. Yager, R.R.: A procedure for ordering fuzzy subsets of the unit interval. Inform. Sci. 24, 143–161 (1981)

    Article  MATH  MathSciNet  Google Scholar 

  24. Yuan, Y.: Criteria for evaluating fuzzy ranking methods. Fuzzy Sets and Systems 44, 139–157 (1991)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Shipping and Transportation Management, Department of Computer Science, National Taiwan Ocean University, Keelung, 202, Taiwan, Republic of China

    Hsuan-Shih Lee

Authors
  1. Hsuan-Shih Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, HS. (2005). A Fuzzy Multi-criteria Decision Making Model for the Selection of the Distribution Center. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_164

Download citation

  • DOI: https://doi.org/10.1007/11539902_164

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28320-1

  • Online ISBN: 978-3-540-31863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation