Skip to main content
SpringerLink
Log in

Designing of fuzzy expert heuristic models with cost management toward coordinating AHP, fuzzy TOPSIS and FIS approaches

  • Published:
Sādhanā Aims and scope Submit manuscript

Abstract

In genuine industrial case, problems are inescapable and pose enormous challenges to incorporate accurate sustainability factors into supplier selection. In this present study, three different primarily based multi-criteria decision making fuzzy models have been compared with their deterministic version so as to resolve fuzzy prioritization problems. The developed model applies AHP, TOPSIS and fuzzy inference system (FIS) using a MATLAB toolbox to effectively analyze the interdependencies between sustainability criteria and select the best sustainable supplier in the fuzzy environment, while capturing all objective criteria. A typical supplier A4 has been awarded the most suitable supplier with 0.386 composite relative weights of AHP, relative closeness to ideal solution 0.7154 and normalized score index 0.219 FIS model using MATLAB toolbox.

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

Figure 1
Figure 2
Figure 3

Similar content being viewed by others

References

  1. Thrulogachantar P and Zailani S 2011 The influence of purchasing strategies on manufacturing performance. J. Manuf. Technol. Manag. 22: 641–663

    Article  Google Scholar 

  2. Zanakis S, Solomon A, Wishart N and Dublish S 1998 Multi-attribute decision-making: a simulation comparison of select methods. Eur. J. Oper. Res. 107: 507–529

    Article  MATH  Google Scholar 

  3. Dickson G W 1966 An analysis of vendor selection: Systems and decisions. J. Purchas. 1(2): 5–17

    Google Scholar 

  4. Weber C, Current J R and Benton W C 1991 Vendor selection criteria and method. Eur. J. Oper. Res. 50(1): 2–18

    Article  Google Scholar 

  5. Sagar M K and Singh D 2012 Supplier selection criteria: Study of automobile sector in India. Int. J. Eng. Res. Dev. 4(4): 34–39

    Google Scholar 

  6. Ghosh T, Chakraborty T and Dan P K 2012 An effective AHP based metaheuristic approach to solve supplier selection problem. Int. J. Procurement Manag. 5(2): 140–159

    Article  Google Scholar 

  7. Rajak A K, Niraj M and Kumar S 2015 Multi-criteria decision making method & value engineering: A new concept in vendor selection. Int. J. Current Adv. Res. 4(7): 171–173

    Google Scholar 

  8. Ertugrul I and Karakasoglu N 2009 Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Syst. Appl. 36(1): 702–715

    Article  Google Scholar 

  9. Balli S and Korukoglu S 2009 Operating system selection using fuzzy AHP and TOPSIS methods. Math. Comput. Appl. 14(2): 119–130

    MATH  Google Scholar 

  10. Chamodrakas I, Alexopoulou N and Martakos D 2009 Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS. Expert Syst. Appl. 36(4): 7409–7415

    Article  Google Scholar 

  11. Dagdeviren M, Yavuz S and Kilinc N 2009 Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst. Appl. 36(4): 8143–8151

    Article  Google Scholar 

  12. Wang Y J and Lee H S 2007 Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Comput. Math. Appl. 53: 1762–1772

    Article  MathSciNet  MATH  Google Scholar 

  13. Wang Y M, Luo Y and Hua Z 2008 On the extent analysis method for fuzzy AHP and its applications. Eur. J. Oper. Res.. 186: 735–747

    Article  MATH  Google Scholar 

  14. Ye F and Li Y N 2009 Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information. Expert Syst. Appl. 36(5): 9350–9357

    Article  Google Scholar 

  15. Junior F R L, Osiro L and Carpinetti L C R 2014 A comparison between fuzzy AHP and fuzzy TOPSIS methods to supplier selection. Appl. Soft Comput. 21: 194–209

    Article  Google Scholar 

  16. Shukla R K, Garg D and Agarwal A 2014 An integrated approach of fuzzy AHP and fuzzy TOPSIS in modeling supply chain coordination. Prod. Manuf. Res. 2(1): 415–437

    Google Scholar 

  17. Hwang C L and Yoon K 1981 Multiple attribute decision making-methods and application. Springer Verlag. New York

    Book  MATH  Google Scholar 

  18. Hsieh T Y, Lu S T and Tzeng G H 2004 Fuzzy MCDM approach for planning and design tenders selection in public office buildings. Int. J. Project Manag. 22: 573–584

    Article  Google Scholar 

  19. Safari H and Anjali M 2014 A fuzzy TOPSIS approach for ranking of supplier: A case study of ABZARSAZI company. Social Basic Sci. Res. Rev. 2(10): 429–444

    Google Scholar 

  20. Tsoukalas L and Uhrig R 1997 Fuzzy and neural applications in engineering. Wiley, New York

    Google Scholar 

  21. Carrasco E, Rodriguez J, Punal A, Roca E and Lema J 2002 Rule-based diagnosis and supervision of a pilot-scale wastewater treatment plant using fuzzy logic techniques. Expert Syst. Appl. 22: 11–20

    Article  Google Scholar 

  22. Setnes M, Naute Lemke H and Kaymak U 1998 Fuzzy arithmetic-based interpolative reasoning for nonlinear dynamic fuzzy systems. Eng. Appl. Artif. Intell. 11: 781–789

    Article  Google Scholar 

  23. Al-Najjar B and Alsyouf I 2003 Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. Int. J. Prod. Econom. 84: 85–100

    Article  Google Scholar 

  24. Rajak A K, Niraj M and Kumar S 2016 Supplier selection heuristic model by integrating Matlab with fuzzy AHP and fuzzy TOPSIS methods. Kasmera 44: 294–327

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology, Jamshedpur, 831014, India

    Anup Kumar Rajak, Malay Niraj & Shalendra Kumar

Authors
  1. Anup Kumar Rajak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Malay Niraj
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shalendra Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anup Kumar Rajak.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rajak, A.K., Niraj, M. & Kumar, S. Designing of fuzzy expert heuristic models with cost management toward coordinating AHP, fuzzy TOPSIS and FIS approaches. Sādhanā 41, 1209–1218 (2016). https://doi.org/10.1007/s12046-016-0548-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12046-016-0548-x

Keywords

Search

Navigation