Skip to main content
SpringerLink
Log in

Applying Type-2 Fuzzy TOPSIS Method to Selection of Facility Location

  • Conference paper
  • First Online:
15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022 (ICAFS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 610))

  • 294 Accesses

Abstract

Determining location for facility is one of the largest and very extended problem that managers face both when firms are being initially set up and tolerate an extension for different causes. The decision to place a facility contains firms that want to place, replace, or increase their operations. This decision contains the process of determining, analyzing, estimate, and choosing alternatives. Plants, storages, markets, terminals and warehouses are typical locations. Place selection usually begins with determining the need for additional capacity. Then it is decided to begin choosing for the best site. This paper proposes the integration of spectrum selection optimization algorithms based on the evaluation of the characteristics of various locations using the TOPSIS fuzzy method. Proposed technique with type-2 fuzzy numbers is used to solve the problem of choosing the location of an object. Major advantages of this technique are simplicity, rationality, ability to measure comparative performance in a simple mathematical form for each alternative.

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

Access this chapter

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ko, J.: Solving a distribution facility location problem using an analytic hierarchyprocess approach. In: ISAHP Proceedings, Honolulu, Hawaii, pp. 1991–1996 (2005)

    Google Scholar 

  2. Rao, R.V.: Facility location selection. decision making in the manufacturing environment: using graph theory and fuzzy multiple attribute decision making methods, pp. 305–314 (2007)

    Google Scholar 

  3. Brandeau, M.L., Chiu, S.S.: An overview of representative problems in location research. Manag. Sci. 35(6), 645–674 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  4. Brown, P.A., Gibson, D.F.: A quantified model for facility site selection-applicationto a multiplant location problem. AIIE Trans. 4(1), 1–10 (1972)

    Article  Google Scholar 

  5. Drezner, Z., Wesolowsky, G.O.: Network design: selection and design of links and facility location. Transp. Res. Part A: Policy Pract. 37(3), 241–256 (2003)

    Google Scholar 

  6. Hamacher, H. W., Drezner, Z.: Facility location: Applications and Theory, p. 108. Springer, Heidelberg (2002)

    Google Scholar 

  7. Ertuğrul, İ, Karakaşoğlu, N.: Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. Int. J. Adv. Manuf. Technol. 39(7–8), 783–795 (2008)

    Article  Google Scholar 

  8. Kostas, N.: DERViTSiOTiS Operations Management, p. 382. NewYork, McGraw-Hill Book Co (2005)

    Google Scholar 

  9. Yang, J., Lee, H.: An AHP decision model for facility location selection. Facilities 15(9/10), 241–254 (1997)

    Google Scholar 

  10. Ilieva, G.: TOPSIS modification with interval type-2 fuzzy numbers. Cybern. Inf. Technol. 16(2), 51–64 (2016)

    MathSciNet  Google Scholar 

  11. Zadeh, L.A., Aliev, R.A.: Fuzzy logic Theory and Applications. Part I and Part II, p. 610. World Scientific, Singapore (2019)

    Google Scholar 

  12. Aliev, R. A.: Uncertain Computation-Based Decision Theory, p. 521. World Scientific, Singapore (2017)

    Google Scholar 

  13. Mehdiyev, N.: Application of fuzzy AHP-TOPSIS method for software package selection. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F.M. (eds.) ICSCCW 2019. AISC, vol. 1095, pp. 827–834. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-35249-3_109

    Chapter  Google Scholar 

  14. Aliyeva, K.R.: Multi-criteria house buying decision making based on type-2 fuzzy sets. Procedia Comput. Sci. 120, 515–520 (2017). https://doi.org/10.1016/j.procs.2017.11.273

    Article  Google Scholar 

  15. Gardashova, L.A.: Z-number based TOPSIS method in multi-criteria decision making. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F.M. (eds.) ICAFS 2018. AISC, vol. 896, pp. 42–50. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04164-9_10

    Chapter  Google Scholar 

  16. Aliyeva, K.R.: Facility location problem by using fuzzy TOPSIS method. In: B-Quadrat Verlags, Uzbekistan, pp. 55–59 (2018). https://doi.org/10.34920/2018.4-5.55-59

  17. Huseynov, O.H., Adilova, N.E.: Multi-criterial optimization problem for fuzzy if-then rules. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds.) ICAFS 2020. AISC, vol. 1306, pp. 80–88. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64058-3_10

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Instrument-Making Engineering, Azerbaijan State Oil and Industry University, 20 Azadlig Avenue, AZ1010, Baku, Azerbaijan

    K. R. Aliyeva

Authors
  1. K. R. Aliyeva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. R. Aliyeva .

Editor information

Editors and Affiliations

  1. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    R. A. Aliev

  2. System Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    W. Pedrycz

  4. Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA

    Mo. Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    M. B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Türkiye

    F. Sadikoglu

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aliyeva, K.R. (2023). Applying Type-2 Fuzzy TOPSIS Method to Selection of Facility Location. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_87

Download citation

Publish with us

Policies and ethics

Search

Navigation