Einstein geometric aggregation operators using a novel complex interval-valued pythagorean fuzzy setting with application in green supplier chain management

Z Ali, T Mahmood, K Ullah, Q Khan - Reports in Mechanical …, 2021 - rme-journal.org
The principle of a complex interval-valued Pythagorean fuzzy set (CIVPFS) is a valuable
procedure to manage inconsistent and awkward information genuine life troubles. The …

A review of sustainable supplier selection with decision-making methods from 2018 to 2022

Ö Karakoç, S Memiş, B Sennaroglu - Sustainability, 2023 - mdpi.com
Sustainable supplier selection (SSS) is an essential part of the decision-making process in
sustainable supply chains. Numerous research studies have been conducted using various …

Decision making under measure-based granular uncertainty with intuitionistic fuzzy sets

Y Xue, Y Deng - Applied intelligence, 2021 - Springer
Yager has proposed the decision making under measure-based granular uncertainty, which
can make decision with the aid of Choquet integral, measure and representative payoffs …

Linear Diophantine fuzzy algebraic structures

H Kamacı - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The main objective of this paper is to introduce some algebraic properties of finite linear
Diophantine fuzzy subsets of group, ring and field. Relatedly, we define the concepts of …

Fuzzy parameterized fuzzy soft k-nearest neighbor classifier

S Memiş, S Enginoğlu, U Erkan - Neurocomputing, 2022 - Elsevier
In this paper, we propose a new kNN algorithm, ie, Fuzzy Parameterized Fuzzy Soft kNN
(FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices …

Fuzzy parameterized-interval complex neutrosophic soft sets and their applications under uncertainty

F Al-Sharqi, AG Ahmad… - Journal of Intelligent & …, 2023 - content.iospress.com
Interval complex neutrosophic soft set (ICNSS) is the generalization of complex
neutrosophic soft set (CNSS) as it provides an interval-based membership structure to …

A classification method in machine learning based on soft decision-making via fuzzy parameterized fuzzy soft matrices

S Memiş, S Enginoğlu, U Erkan - Soft Computing, 2022 - Springer
Fuzzy parameterized fuzzy soft matrices (fpfs-matrices) which can model problems involving
fuzzy objects and parameters are one of the mathematical tools used to deal with decision …

A new classification method using soft decision-making based on an aggregation operator of fuzzy parameterized fuzzy soft matrices

S Memiş, S Enginoğlu, U Erkan - Turkish Journal of Electrical …, 2022 - journals.tubitak.gov.tr
Recently, a precise and stable machine learning algorithm, ie eigenvalue classification
method (EigenClass), has been developed by using the concept of generalised eigenvalues …

From ambiguity to clarity: unraveling the power of similarity measures in multi-polar interval-valued intuitionistic fuzzy soft sets

M Saqlain, M Saeed - Decision Making Advances, 2024 - dma-journal.org
The utilization of similarity measures in the context of multi-polar interval-valued intuitionistic
fuzzy soft sets (mPIVIFSS) is a significant theoretical approach that offers a valuable …

Some similarity measures for interval-valued bipolar q-rung orthopair fuzzy sets and their application to supplier evaluation and selection in supply chain management

H Kamacı, S Petchimuthu - Environment, Development and Sustainability, 2022 - Springer
The q-rung orthopair fuzzy set is a powerful tool for depicting fuzziness and uncertainty. This
paper proposes a new tool, called interval-valued bipolar q-rung orthopair fuzzy sets to deal …