Fermatean fuzzy sets and its extensions: a systematic literature review
Authors:
- Gülçin BüyüközkanGBGülçin Büyüközkan
- Deniz UztürkDUDeniz Uztürk
- Öykü IlıcakÖIÖykü Ilıcak
Open Access
- 9 May 2024
- journal article
- review article
- Published by Springer Nature in Artificial Intelligence Review
- Vol. 57 (6) , 1-54
Abstract
The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in addressing uncertainty across diverse domains. Despite its recognized utility in managing ambiguous information, recent research lacks a comprehensive analysis of key FFS areas, applications, research gaps, and outcomes. This study, conducted through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, delves into an exploration of the FFS literature, reviewing 135 relevant articles. The documents are meticulously analyzed based on their integrated methodologies, Aggregation Operators (AOs), linguistic sets, and extensions. Additionally, a thematic analysis, facilitated by the Bibliometrix tool, is presented to provide nuanced insights into future research directions and crucial areas within the literature. The study unveils valuable findings, including the integration of linguistic variables with interval-valued FFS, fostering robust environments for dynamic decision-making—a mere glimpse of the potential directions for future research. The gaps and future directions section further articulates recommendations, offering a structured foundation for researchers to enhance their understanding of FFS and chart future studies confidently.Keywords
Funding Information
- Galatasaray Üniversitesi (FOA-2021-1059 and FOA-2023-1181)
This publication has 184 references indexed in Scilit:
- Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selectionInternational Journal of Intelligent Systems, 2021
- New distance measure for Fermatean fuzzy sets and its applicationInternational Journal of Intelligent Systems, 2021
- Evidential Fermatean fuzzy multicriteria decision‐making based on Fermatean fuzzy entropyInternational Journal of Intelligent Systems, 2021
- A novel approach to MADM problems using Fermatean fuzzy Hamacher aggregation operatorsInternational Journal of Intelligent Systems, 2021
- Pythagorean fuzzy linguistic Muirhead mean operators and their applications to multiattribute decision‐makingInternational Journal of Intelligent Systems, 2019
- Distance measure for Fermatean fuzzy linguistic term sets based on linguistic scale function: An illustration of the TODIM and TOPSIS methodsInternational Journal of Intelligent Systems, 2019
- Pythagorean fuzzy average aggregation operators based on generalized and group-generalized parameter with application in MCDM problemsInternational Journal of Intelligent Systems, 2018
- Fermatean fuzzy linguistic set and its application in multicriteria decision makingInternational Journal of Intelligent Systems, 2018
- A Novel Method for Multiattribute Decision Making with Interval-Valued Pythagorean Fuzzy Linguistic InformationInternational Journal of Intelligent Systems, 2017
- Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy SetsInternational Journal of Intelligent Systems, 2014