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Linear Diophantine fuzzy substructures of ordered semigroups
As an extension of the fuzzy set, linear Diophantine fuzzy set (LDFS) was recently introduced. In this paper, we apply the concept of LDFS in ordered...
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(p, q)-Rung linear Diophantine fuzzy sets and their application in decision-making
The q -rung linear Diophantine fuzzy set is one of the effective generalizations of Diophantine fuzzy set for dealing with uncertainties in...
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Correlation coefficient measures and aggregation operators on interval-valued linear Diophantine fuzzy sets and their applications
Intuitionistic fuzzy sets, Pythagorean fuzzy sets, and q-rung orthopair fuzzy sets are rudimentary concepts in computational intelligence, which have...
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Generalized linear diophantine fuzzy Choquet integral with application to the project management and risk analysis
A linear Diophantine fuzzy number (LDFN), by incorporating reference parameters (RPs), provides freedom to the decision makers in evaluating and...
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An Application of Linear Diophantine Fuzzy Sets to the Edge Detection Techniques
The utilization of fuzzy set theory within the domain of image processing provides a lot of advantages such as encompassing the management of...
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Linear Diophantine Fuzzy Information Aggregation with Multi-criteria Decision-Making
Linear Diophantine fuzzy set (LDFS) is the integral part of decision-making process under uncertain environment, because of its amazing quality of...
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Some Einstein interaction geometric aggregation operators based on improved operational laws of complex q-rung orthopair fuzzy set and their applications
Complex q-rung orthopair fuzzy (CQROF) set is very feasible to depict the complex uncertain information in real-life problems because it is the...
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Interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft matrices and their application to performance-based value assignment to noise-removal filters
Recently, the concept of interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft sets ( d -sets) has successfully...
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Distance function of complex fuzzy soft sets with application in signals
The complex fuzzy soft set is a new development in the theory of fuzzy soft systems which discuss two dimensional phenomena. In this paper, we...
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Picture fuzzy soft-max Einstein interactive weighted aggregation operators with applications
This research paper introduces novel aggregation methods known as the picture fuzzy soft-max Einstein interactive weighted average (PiFSMEIWA) and...
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Choquet-Frank aggregation operators based on q-rung orthopair fuzzy settings and their application in multi-attribute decision making
The main theory of intuitionistic and Pythagorean fuzzy sets was modified by Yager in (IEEE Trans Fuzzy Syst 25: 1222-1230, 2016) to pioneer the...
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Effective neutrosophic soft set theory and its application to decision-making
The neutrosophic soft set is the most powerful and effective extension of soft sets, which deals with parameterized values of options since it also...
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A method to multiattribute decision making problems under interaction aggregation operators based on complex Pythagorean fuzzy soft settings and their applications
Making beneficial decisions is a vital part of running an efficacious business. Factors affecting decision-making in business contain alignment with...
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New Methods of Computing Correlation Coefficient Based on Pythagorean Fuzzy Information and Their Applications in Disaster Control and Diagnostic Analysis
Pythagorean fuzzy correlation coefficient (PFCC) is a trustworthy information measure to determine sundry real-world decision-making problems. Some...
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Decision analysis review on the concept of class for bipolar soft set theory
To eliminate uncertainty, all data expressed by decision-makers must be processed correctly. The most useful mathematical models developed for this...
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Analysis of \(\Gamma \)-semigroups based on bipolar complex fuzzy sets
Kee** in view the importance of fuzzy algebraic structures, in this manuscript, we develop the concept of bipolar complex fuzzy (BCF)
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On Boolean elements and derivations in 2-dimension linguistic lattice implication algebras
A 2-dimension linguistic lattice implication algebra (2DL-LIA) can build a bridge between logical algebra and 2-dimension fuzzy linguistic...
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Similarity measure on interval valued intuitionistic fuzzy numbers based on non-hesitance score and its application to pattern recognition
Interval-valued intuitionistic fuzzy numbers (IVIFNs) are better in modelling real-life problems more naturally, and it can apply to many fields such...
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Soft rough Pythagorean m-polar fuzzy sets and Pythagorean m-polar fuzzy soft rough sets with application to decision-making
The aim of this paper is to present the notions of soft rough Pythagorean m-polar fuzzy sets (SRPMPFSs) and Pythagorean m-polar fuzzy soft rough sets...
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Novel group decision making approach based on the rough soft approximations of graphs and hypergraphs
Rough soft knowledge is a key approach to understand and model uncertain, vague and not clearly defined situations in a parametric manner. Graphs,...
