Decision making problem solving using fuzzy networks with rule base aggregation

Abdul Yaakob, Alexander Gegov, Siti Fatimah Abdul Rahman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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This paper presents a novel extension of the Technique for Ordering of Preference by Similarity to Ideal Solution (TOPSIS) method. The method is based on aggregation of rules with different linguistic values of the output of fuzzy networks to solve multi criteria decision-making problems whereby both benefit and cost criteria are presented as subsystems. Thus the decision maker evaluates the performance of each alternative for decision process and further observes the performance for both benefit and cost criteria. The aggregation of rule bases in a fuzzy system maps the fuzzy membership functions for all rules to an aggregated fuzzy membership function representing the overall output for the rules. This approach improves significantly the transparency of the TOPSIS methods, while ensuring high effectiveness in comparison to established approaches. To ensure practicality and effectiveness, the proposed method is further tested on equity selection problems. The ranking produced by the method is comparatively validated using Spearman rho rank correlation. The results show that the proposed method outperforms the existing TOPSIS approaches in terms of ranking.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)978-1509060344
ISBN (Print)978-1509060351
Publication statusPublished - 24 Aug 2017
Event2017 IEEE International Conference on Fuzzy Systems - Royal-Continental Hotel, Naples, Italy
Duration: 9 Jul 201712 Jul 2017

Publication series

NameIEEE FUZZ-IEEE Proceedings Series
ISSN (Electronic)1558-4739


Conference2017 IEEE International Conference on Fuzzy Systems
Internet address


  • decision making
  • fuzzy networks
  • selection alternatives
  • fuzzy sets
  • equity selection
  • spearman rho


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