Recent Developments on Fuzzy AHP and ANP Under Vague and Imprecise Data: Evidence from INFUS Conferences

Cengiz Kahraman; Selçuk Çebi; Sezi Çevik Onar; Başar Öztayşi

doi:10.13033/IJAHP.V14I2.1033

Recent Developments on Fuzzy AHP and ANP Under Vague and Imprecise Data: Evidence from INFUS Conferences

Cengiz Kahraman, Selçuk Çebi, Sezi Çevik Onar, Başar Öztayşi

Department of Industrial Engineering

Yildiz Technical University

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

When a decision maker is not sure about assigning a value for a pairwise comparison, he/she should assign a fuzzy value such as ‘between 3 and 4’ or ‘around 5’. These expressions can be represented by fuzzy numbers, which make the use of fuzzy AHP methods possible. Each new fuzzy set extension has caused a new fuzzy AHP method to be developed by researchers. The INFUS conference is a scientific arena where researchers can present their new fuzzy AHP extensions and benefit from the discussions during the sessions. This paper summarizes the latest fuzzy AHP/ANP extensions that have been developed in the recent years at INFUS conferences.

Original language	English
Pages (from-to)	1-17
Number of pages	17
Journal	International Journal of the Analytic Hierarchy Process
Volume	14
Issue number	2
DOIs	https://doi.org/10.13033/IJAHP.V14I2.1033
Publication status	Published - 2022

Bibliographical note

Publisher Copyright:
© 2022, International Journal of the Analytic Hierarchy Process. All Rights Reserved.

Keywords

Fuzzy extensions of ahp
Intuitionistic fuzzy ahp
Neutrosophic ahp
Picture fuzzy ahp
Pythagorean fuzzy ahp
Q-rung orthopair fuzzy ahp
Spherical fuzzy ahp

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10.13033/IJAHP.V14I2.1033

Cite this

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title = "Recent Developments on Fuzzy AHP and ANP Under Vague and Imprecise Data: Evidence from INFUS Conferences",

abstract = "When a decision maker is not sure about assigning a value for a pairwise comparison, he/she should assign a fuzzy value such as {\textquoteleft}between 3 and 4{\textquoteright} or {\textquoteleft}around 5{\textquoteright}. These expressions can be represented by fuzzy numbers, which make the use of fuzzy AHP methods possible. Each new fuzzy set extension has caused a new fuzzy AHP method to be developed by researchers. The INFUS conference is a scientific arena where researchers can present their new fuzzy AHP extensions and benefit from the discussions during the sessions. This paper summarizes the latest fuzzy AHP/ANP extensions that have been developed in the recent years at INFUS conferences.",

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AU - Onar, Sezi Çevik

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Recent Developments on Fuzzy AHP and ANP Under Vague and Imprecise Data: Evidence from INFUS Conferences

Abstract

Bibliographical note

Keywords

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