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Multiple attribute decision-making based on different types of Dombi aggregation operators under Fermatean fuzzy information
For multiple attribute decision-making problem under Fermatean Fuzzy data environment, few existing operators are considered to interrelate among the...
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An Aczel-Alsina aggregation-based outranking method for multiple attribute decision-making using single-valued neutrosophic numbers
The “single-valued neutrosophic set (SVNS)” is used to simulate scenarios with ambiguous, incomplete, or inaccurate information. In this article,...
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Industrial Energy Cluster Optimization Using Flexibility Aggregation
Individual industries can reduce their energy related costs by stipulating collaborative arrangements in the form of industrial energy communities....
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A mathematical approach to medical diagnosis via Pythagorean fuzzy soft TOPSIS, VIKOR and generalized aggregation operators
Hepatitis is a therapeutic disorder caused by the inflammation/infection of liver and regarded as the existence of cells causing inflammation in the...
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Multi-attribute decision making based on the q-rung orthopair fuzzy Yager power weighted geometric aggregation operator of q-rung orthopair fuzzy values
The power geometric (PG) operator has the significant advantage of reducing the effects of the incorrect information given by the biased experts....
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Power Muirhead mean in spherical normal fuzzy environment and its applications to multi-attribute decision-making
This study aims to propose the power Muirhead mean (PMM) operator in the spherical normal fuzzy sets (SNoFS) environment to solve multiple attribute...
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Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency
More demand-side flexible resources (DFRs) are participating in the frequency regulation of renewable power systems, whose heterogeneous...
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Homorphic Encryption in Smart Grid System for Secure Information Aggregation
In our digital world, the conventional power system has to meet the demands of a digital society. Thus, upgradation was required. It included smart...
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Archimedean t-Norm and t-Conorm-Based Aggregation Operators of HFNs, with the Approach of Improving Education
The aim of this paper is to develop the calculus of hesitant fuzzy numbers (HFNs), have been recently proposed as the newest extension of hesitant...
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Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks
IoT is a revolutionary area of computing technology that allows many different devices to work together over existing internet infrastructure....
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Multicriteria group decision-making using Archimedean t-norm and t-conorm-based linguistic q-rung orthopair fuzzy generalized operators
Strategic planning is a crucial activity for the owners and managers of business organisations, and it is an effective process that incorporates many...
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q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information and Their Application in Decision Making
The core contribution of this study is to develop a novel generalized idea of q-rung orthopair probabilistic hesitant fuzzy rough set (q-ROPHFRS)...
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Banzhaf–Choquet-copula-based aggregation operators for managing q-rung orthopair fuzzy information
Information fusion of fuzzy numbers has played a vital role in the decision support systems under the environment of q-rung orthopair fuzzy set...
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Heronian Mean Operators Considering Shapley Fuzzy Measure under Interval Neutrosophic Vague Environment for an Investment Decision
Heronian mean (HM) operators are powerful aggregation operators that consider the interrelationship of two input arguments. HM operators have been...
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(2,1)-Fuzzy sets: properties, weighted aggregated operators and their applications to multi-criteria decision-making methods
Orthopair fuzzy sets are fuzzy sets in which every element is represented by a pair of values in the unit interval, one of which refers to membership...
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Multiple attribute group decision-making based on generalized aggregation operators under linguistic interval-valued Pythagorean fuzzy environment
The linguistic variables provide a powerful and efficient tool for describing qualitative information in many complex real-life decision situations....
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Multi-attribute group decision-making based on probabilistic dual hesitant fuzzy Maclaurin symmetric mean operators
In this study, we put forward the dual Maclaurin symmetric mean (DMSM) and the Maclaurin symmetric mean (MSM) operators with the context of the...
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Decision-making model for internet finance soft power and sportswear brands based on sine-trigonometric Fermatean fuzzy information
The Fermatean fuzzy sets (FFSs) exhibit exceptional performance to handle the uncertain information in decision-making process owing to their...
