As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: September/October 2024.

Open Call for Papers: International Workshop on Intuitionistic Fuzzy Sets • 13 December 2024 • Banska Bystrica, Slovakia/ online (hybrid mode).
Deadline for submissions: 16 November 2024.

Issue:Selection of vendor based on intuitionistic fuzzy linguistic hedges

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
(Redirected from Issue:Nifs/21/4/69-75)
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/21/4/69-75
Title of paper: Selection of vendor based on intuitionistic fuzzy linguistic hedges
Author(s):
Prabjot Kaur
Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, India
tinderbox_fuzzy@yahoo.com
Madhumita Pal
Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, India
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 21, 2015, Number 4, pages 69–75
Download:  PDF (110  Kb, File info)
Abstract: Vendor selection problem is selection of a suitable vendor that performs optimally on various desired dimensions such as cost, quality, delivery and service. Individual vendors may have different performance characteristics for different dimensions, so selection of a suitable vendor is a tedious task with so many complex factors used for evaluation. In this paper we propose selection of vendor based on linguistic hedges under intuitionistic fuzzy environment. We propose intuitionistic fuzzy sets (IFS) to represent the data dimensions of various vendors and intuitionistic fuzzy hedges to modify the various dimensions to approximate values. Also hedges are compatible with IFS and IFS help decision makers to describe and character the fuzzy sets with another parameter called non-membership function. The above process ensures that vendors are carefully and systematically evaluated and are satisfactory suppliers. A numerical example illustrates our proposed methodology.
Keywords: Intuitionistic fuzzy set, Linguistic hedge.
AMS Classification: 03E72.
References:
  1. Om Pal, Amit Kumar Gupta, & R. K. Garg (2013) Supplier Selection Criteria and Methods in SupplyChains: A Review, International Journal of Social, Management, Economics and Business Engineering, 7(10).
  2. Ho, W. Xiaowei Xu & Prasanta K. Dey (2010) Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research, 202, 16–24.
  3. Weber, C. A., J. R. Current &, W. C. Benton (1991) Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2–18.
  4. De Boer, L., E. Labro & P. Morlacchi (2001) A review of methods supporting supplier selection, European Journal of Purchasing & Supply Management, 7, 75–89.
  5. Dickson, G. W. (1966) An analysis of vendor selection system and decisions. Journal of purchasing, 2(1), 28–41.
  6. Soeini, R. A., L. Tashakor, J. T. Bafghi, M. Mokhtari, A. Vakili (2012) Supplier selection based on multiple criteria, International Journal on New Computer Architectures and Their Applications, 2(1), 258–273.
  7. Mendoza, A., E. Santiago & A. Ravi Ravindran (2008) A three phase multicriteria method to the supplier selection problem, International Journal of Industrial Engineering, 15(2), 195–210.
  8. Szmidt, E. & J. Kacprzyk (2001) Intuitionistic Fuzzy Sets in Some Medical Applications, Notes on Intuitionistic Fuzzy Sets, 7(4), 58–64.
  9. Kaur, P. & M. Deb (2015) An Intuitionistic Approach for Price Breaks in EOQ from Buyer’s Perspective, Applied Mathematical Sciences, 9(71), 3511–3523.
  10. Kaur, P. (2014a) An Intuitionistic Fuzzy Multi-Objective Vendor Selection Problem, Applied Mathematical Sciences. 8(149), 7443–7452.
  11. Kaur, P. (2014b) Selection of Vendor Based on Intuitionistic Fuzzy Analytical Hierarchy Process, Advances in Operations Research, 2014b, Article ID 987690, 10 pages.
  12. Mukherjee, S. & K. Basu (2011) Solving intuitionistic fuzzy assignment problem by using similarity measures and score functions, Int. J. Pure, Science Technology, 2(1), 118.
  13. Wang, P. (2009) QoS-aware web services selection with intuitionistic fuzzy set under consumer’s vague perception, Expert Systems with Applications, 36, 4460–4466.
  14. Boran, F. E. (2011) An integrated intuitionistic fuzzy multicriteria decision making method for facility location selection, Mathematical and Computational Applications, 16 (2), 487–496.
  15. Kumar De, S., R. Biswas & A. R. Roy (2000) Some operations on intuitionistic fuzzy sets, Fuzzy Sets and Systems, 114, 477–484.
  16. Lamberson, L. R., D. Diederivh, & J. Wuoriu (1976) Quantitative vendor evaluation, J. of Purchasing and Materials Management, 12, 19–28.
  17. Timmerman, E. (1986) An approach to vendor performance evaluation, J. of Purchasing and Materials Management, 22(4), 2–8.
  18. Wind, Y. & P. J. Robinson (1968) The determinants of vendor selection: The evaluation function approach, J. of Purchasing and Materials Management, 4(3), 29–41.
  19. Narsimhan, R. (1983) An analytical approach to supplier selection, J. of Purchasing and Materials Management, 19(4), 27–32.
  20. Nydick, R. L. & R. P. Hill (1992) Using the analytic hierarchy process to structure the supplier selection procedure, J. of Purchasing and Materials Management, 25(2), 31–36.
  21. Gregory, R. E. (1986) Source selection: A matrix approach, J. of Purchasing and Materials Management, 22(2), 24–29.
  22. Boran, F. E., S. Genc, M. Kurt & D. Akay (2009) A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 36, 11363–11368.
  23. Shahrokhi, M., A. Bernard & H. Shidpour (2011) An integrated method using intuitionistic fuzzy set and linear programming for supplier selection problem, Proc. of 18th IFAC World Congress Milano (Italy) August 28 – September 2, 6391–6395.
  24. Hua-Wen Liu & Guo-Jun Wang (2007) Multi-criteria decision-making methods based on intuitionistic fuzzy sets, European Journal of Operational Research, 179, 220–233.
  25. Guo, Z., M. Qi & X. Zhao (2010) A new approach based on intuitionistic fuzzy set for selection of suppliers, Proc. of 6th International Conference on Natural Computation (ICNC 2010), 3715–3718.
  26. Atanassov, K. (1986) Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87–96.
  27. Sotirova, E., A. Shannon, S. Sotirov & M. Krawczak (2014) Intuitionistic fuzzy estimation of the doctoral comprehensive examination, Notes on Intuitionistic Fuzzy Sets, 20(2), 119–125.
  28. Seydel, J. (2005) Supporting the paradigm shift in vendor selection: Multicriteria methods for sole sourcing. Managerial Finance, 31(3).
  29. Chen, S. M. & J. M. Tan (1994) Handling multi-criteria fuzzy decision-making problems based on vague set theory, Fuzzy Sets and Systems, 67(2), 163–172.
  30. Hartigan, J. A. (1975) Clustering Algorithms, Wiley.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.