An Initial Research on Comparison of Fuzzy AHP and Classical AHP Methods

Basar Oztaysi*, Sezi Cevik Onar, Cengiz Kahraman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Analytic Hierarchy Process (AHP) is one of the most popular method in multi-criteria decision making and it has been extended by various extensions of fuzzy sets. The method uses linguistic terms for expert judgements and these judgements are represented by crisp or fuzzy numbers in different methods. Although there are various extension of AHP, such as Type-2 Fuzzy AHP, Hesitant Fuzzy AHP, Intuitionistic fuzzy AHP, Spherical fuzzy AHP, there are no studies on the comparison of the methods. In this study, we try to compare five classical AHP and one Fuzzy AHP (Bukley’s AHP) for 3 × 3 and 4 × 4 matrices. To this end, all possible matrices are created and solved. In order to make a comparison the ranking result and weight results are used. The results show that the difference between the methods increase as the matrix size increase. It is also observed that, the methods provide similar results for consistent matrices.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
EditorsCengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages382-388
Number of pages7
ISBN (Print)9783031397769
DOIs
Publication statusPublished - 2023
EventIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey
Duration: 22 Aug 202324 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
Volume759 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/TerritoryTurkey
CityIstanbul
Period22/08/2324/08/23

Bibliographical note

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

Keywords

  • Analytic Hierarch Process
  • Fuzzy AHP
  • Fuzzy Sets

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