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# Judul Penulis Tahun Akses
DOAJ Open Access

Multi-Valued Complex Fermatean Neutrosophic EDAS method for green investment portfolio ranking in uncertain ESG environments

Array, Vol 30, Iss , Pp 100801- (2026) | ISSN: 2590-0056
Elsevier, 2026DOI: 10.1016/j.array.2026.100801
Decision-making in real-world environments is frequently challenged by imprecise, multi-dimensional, and dynamically evolving information. Traditional approaches often struggle to effectively handle such complexity, particularly in multi-attribute gr...
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Jurnal Institusi

Solution Approach to the Minimum Spanning Tree Problem in Tsukamoto Fuzzy and Fermantean Fuzzy Environments

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 15 No. 2 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; 208-221
Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning, 2024DOI: 10.31849/digitalzone.v15i2.22826Copyright (c) 2024 Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
 Solving Fuzzy Minimum Spanning Tree (FFMST) and Fuzzy Tsukamoto using modified Prim Algorithm for Undirected Graphs and modified Optimal Branching Algorithm for Directed Graphs in FFN environment. Since the proposed Algorithm includes FFN r...
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PubMed

A new Fermatean fuzzy Spearman-like correlation coefficient and its application in evaluating insecurity problem via multi-criteria decision-making approach

Heliyon
Elsevier, 2024DOI: 10.1016/j.heliyon.2024.e40403https://creativecommons.org/licenses/by/4.0/
The problem of insecurity is a global crisis with adverse effects on lives and properties. Fermatean fuzzy correlation coefficient is a dependable method for handling imprecision, which is the main bottleneck of insecurity assessment. A number of Fer...
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PubMed

Fermatean fuzzy soft aggregation operators and their application in symptomatic treatment of COVID-19 (case study of patients identification)

J Ambient Intell Humaniz Comput
2022DOI: 10.1007/s12652-022-03725-z© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
ABSTRACT: The main focus of this paper is the application of aggregation operators (AOs) in the environment of Fermatean fuzzy soft sets (FFSS). The unique feature of the work is its application in the symptomatic treatment of the COVID-19 disease. F...
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PubMed

Blockchain knowledge selection under the trapezoidal fermatean fuzzy number

Soft comput
2022DOI: 10.1007/s00500-022-07611-w© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
Blockchain knowledge signifies a useful fundamental knowledge to safeguard faith in transboundary transmittals for main banks and financial institutions. In the study of group decision-making, the most important issue is how to coordinate opinions fr...
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PubMed

Complex Fermatean fuzzy extended TOPSIS method and its applications in decision making

Heliyon
Elsevier, 2023DOI: 10.1016/j.heliyon.2023.e19170https://creativecommons.org/licenses/by-nc-nd/4.0/
The fuzzy set has its own limitations due to the membership function only. The fuzzy set does not describe the negative aspects of an object. The Fermatean fuzzy set covers the negative aspects of an object. The complex Fermatean fuzzy set is the mos...
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PubMed

Multi-attribute decision-making based on novel Fermatean fuzzy similarity measure and entropy measure

Granul Comput
2023DOI: 10.1007/s41066-023-00378-x© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
To deal with situations involving uncertainty, Fermatean fuzzy sets are more effective than Pythagorean fuzzy sets, intuitionistic fuzzy sets, and fuzzy sets. Applications for fuzzy similarity measures can be found in a wide range of fields, includin...
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PubMed

Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets

Granul Comput
2022DOI: 10.1007/s41066-021-00309-8© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
Fermatean fuzzy sets are more powerful than fuzzy sets, intuitionistic fuzzy sets, and Pythagorean fuzzy sets in handling various problems involving uncertainty. The distance measures in the fuzzy and non-standard fuzzy frameworks have got their appl...
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PubMed

Treatment of cancer patients by generalizing a Fermatean normal vague set with aggregation operators

Heliyon
Elsevier, 2024DOI: 10.1016/j.heliyon.2024.e40252https://creativecommons.org/licenses/by-nc/4.0/
Multi-attribute decision-making problems can be solved using a Fermatean vague set. Fermatean vague sets are extension of vague sets. We initiated generalized Fermatean vague weighted averaging, generalized Fermatean vague weighted geometric, power g...
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PubMed

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

Complex Intell Systems
2022DOI: 10.1007/s40747-022-00743-4https://creativecommons.org/licenses/by/4.0/
Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-making (MCDM) problem due to the association of diverse conflicting criteria with uncertain information. The utilization of Fermatean fuzzy numbers is successful...
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PubMed

A comprehensive study for selecting optimal treatment modalities for blood cancer in a Fermatean fuzzy dynamic environment

Sci Rep
Nature Publishing Group, 2024DOI: 10.1038/s41598-024-51942-7https://creativecommons.org/licenses/by/4.0/
Cancer is characterized by uncontrolled cell proliferation, leading to cellular damage or death. Acute lymphoblastic leukemia (ALL), a kind of blood cancer, that affects lymphoid cells and is a challenging malignancy to treat. The Fermatean fuzzy set...
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PubMed

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Expert Syst
2021DOI: 10.1111/exsy.12769© 2021 John Wiley & Sons Ltd. This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.
The multiple attribute decision‐making models are empowered with the support of fuzzy sets such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also neutrosophic sets, etc. These concepts generate varying representat...
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PubMed

A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings

PLoS One
PLOS, 2024DOI: 10.1371/journal.pone.0303139https://creativecommons.org/licenses/by/4.0/
Road traffic accidents (RTAs) pose a significant hazard to the security of the general public, especially in developing nations. A daily average of more than three thousand fatalities is recorded worldwide, rating it as the second most prevalent caus...
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PubMed

Multiattribute decision-making under Fermatean fuzzy bipolar soft framework

Granul Comput
2021DOI: 10.1007/s41066-021-00270-6© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021
Fermatean fuzzy set theory is emerging as a novel mathematical tool to handle uncertainties in different domains of real world. Fermatean fuzzy sets were presented in order that uncertain information from quite general real-world decision-making situ...
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PubMed

An extended MABAC method based on prospect theory with unknown weight information under Fermatean fuzzy environment for risk investment assessment in B&R

J Ambient Intell Humaniz Comput
2022DOI: 10.1007/s12652-022-03769-1© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
The assessment of investment risk for the countries along the route in Belt and Road (B&R) can be deemed as a multiple criteria group decision making (MCGDM) issue since multiple investment options based on diverse criterions are assessment by ex...
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PubMed

A novel decision support system for sustainable logistics management in interval-valued fermatean picture fuzzy structure

Sci Rep
Nature Publishing Group, 2025DOI: 10.1038/s41598-025-06699-yhttps://creativecommons.org/licenses/by-nc-nd/4.0/
Determining a sustainable logistics management system constitutes an extensive decision-making process characterized by fundamental volatility. Interval-valued Fermatean picture fuzzy sets (IVFPFS) propose a more versatile and detailed structure to r...
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PubMed

New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach

Knowl Inf Syst
2022DOI: 10.1007/s10115-022-01776-4© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
The most straightforward approaches to checking the degrees of similarity and differentiation between two sets are to use distance and cosine similarity metrics. The cosine of the angle between two n-dimensional vectors in n-dimensional space is call...
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PubMed

Fermatean Fuzzy Schweizer–Sklar Operators and BWM-Entropy-Based Combined Compromise Solution Approach: An Application to Green Supplier Selection

Entropy (Basel)
Multidisciplinary Digital Publishing Institute (MDPI), 2022DOI: 10.3390/e24060776https://creativecommons.org/licenses/by/4.0/
The Fermatean fuzzy set (FFS) is a momentous generalization of a intuitionistic fuzzy set and a Pythagorean fuzzy set that can more accurately portray the complex vague information of elements and has stronger expert flexibility during decision analy...
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PubMed

Interval-valued fermatean fuzzy sets with multi-criteria weighted aggregated sum product assessment-based decision analysis framework

Neural Comput Appl
2022DOI: 10.1007/s00521-021-06782-1© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
Fermatean fuzzy set, a generalization of the fuzzy set, is a significant way to tackle the complex uncertain information that arises in decision-analysis procedure and thus can be employed on a wider range of applications. Due to the inadequacy in ac...
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PubMed

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Sustain Cities Soc
2022DOI: 10.1016/j.scs.2022.103669© 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. First...
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