Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS

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The lack of ability to handle vagueness in the decision making practice has been main drawback of the conventional TOPSIS. Thus, type 1, type 2 and Z fuzzy sets have been applied with conventional TOPSIS to allow experts to incorporate imperfect information in analysis. However the existing methods do not take into account the influence degree of decision makers. Hence, a novel modification of TOPSIS method to handle vagueness and imperfect information in decision making practice is presented. The concept of Z- numbers is used to present decision maker's reliability. Furthermore, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be often expressed by a fuzzy rule base. The ranking based on proposed method is validated comparatively using Spearmen rho correlation coefficient. The result shows proposed method outperforms the existing non rule based version of TOPSIS in terms of ranking performance.
Original languageEnglish
Title of host publication2015 IEEE international conference on fuzzy systems (FUZZ-IEEE)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1 - 8
Number of pages8
ISBN (Print)978-1-4673-7428-6
Publication statusPublished - Aug 2015
Event2015 IEEE International Conference on Fuzzy Systems - Kadir Has University, Istanbul, Turkey
Duration: 2 Aug 20155 Aug 2015

Publication series

NameProceedings of ... IEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584


Conference2015 IEEE International Conference on Fuzzy Systems
Abbreviated titleFUZZ-IEEE


  • Z-Numbers
  • decision maker's reliability
  • decision making
  • fuzzy rule based system
  • influence degree
  • influence multiplier
  • ranking alternative
  • ranking performance


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