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Hausdorff Similarity Measure on Neutrosophic Soft Set with Its Applicability in Decision Making
Published 2024-09-01Get full text
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1202
A hybrid Structural Equation Modeling and Fuzzy-set Qualitative Comparative Analysis framework for using limited samples to relate cycling performance to behavioral traits
Published 2025-06-01“… The objective of this investigation was to explore a hybrid application of Structural Equation Modelling (SEM) and Fuzzy-set Qualitative Comparative Analysis (FsQCA) to assess the impact of safety-related behavioural traits on the performance of bicyclists using a limited sample of data as a case study. …”
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1203
Artificial Neural Network Approach to Study Imprecisely Defined Nonlinear Systems With Case Studies
Published 2025-01-01“…This paper introduces an alternative method for analysing mathematical models by combining an artificial neural network (ANN) with a modified Levenberg-Marquardt (LM) optimization approach to solve fuzzy systems of nonlinear equations. The proposed method transforms fuzzy equations into an unconstrained optimization problem by employing triangular fuzzy numbers (TFNs) and utilizing a membership value to map fuzzy constraints into crisp values. …”
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1204
A comprehensive study on the mechanical properties of natural fiber reinforced stabilized rammed earth using experimental and data-driven fuzzy logic-based analysis
Published 2025-03-01“…Additionally, a data-driven fuzzy logic model was developed to estimate the mechanical properties of RE, addressing a key gap in the application of fuzzy logic to RE construction. …”
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1205
Computationally assisted screening and design of cell-interactive peptides by a cell-based assay using peptide arrays and a fuzzy neural network algorithm
Published 2008-03-01“…Here we focus on cell-adhesion peptides as a model application of this peptide-screening strategy. Cell-adhesion peptides were screened by use of a cell-based assay of a peptide array. …”
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Developing Proper Systems for Successful Cloud Computing Implementation Using Fuzzy ARAS Method (Case Study: University of Tehran Faculty of New Science and Technology)
Published 2017-12-01“…Based on the framework proposed here, the interval-valued fuzzy ARAS method was then employed for weighting and prioritizing specified alternatives. …”
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1209
Load frequency control resilience of hybrid power system with renewable energy sources and superconducting magnetic energy storage using FO-Fuzzy-PID controller
Published 2025-09-01“…This study investigates the use of superconducting magnetic energy storage (SMES) in LFC systems, combined with an innovative adaptive controller of the fractional order fuzzy proportional-integral-derivative (FO-Fuzzy-PID) type optimized by particle swarm optimization (PSO). …”
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1210
A Decision-Making Framework Using q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID-19
Published 2022-01-01“…This study’s key objective is to develop a novel approach called q-rung orthopair probabilistic hesitant fuzzy rough set (q-ROPHFRS), which incorporates the q-rung orthopair fuzzy set, probabilistic hesitant fuzzy set, and rough set structures. …”
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An extended TOPSIS technique based on correlation coefficient for interval-valued q-rung orthopair fuzzy hypersoft set in multi-attribute group decision-making
Published 2025-04-01“…The purpose of this research is to explore the applicability of correlation coefficients (CC) and weighted correlation coefficients (WCC) in interval-valued q-rung orthopair fuzzy hypersoft sets (IVq-ROFHSS) structures with their essential characteristics. …”
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Grouped machine learning methods for predicting rock mass parameters in a tunnel boring machine‐driven tunnel based on fuzzy C‐means clustering
Published 2025-03-01“…The average percentage error of uniaxial compressive strength and joint frequency (Jf) of the 30 testing samples predicted by the pure back propagation (BP) neural network is 13.62% and 12.38%, while that predicted by the BP neural network combined with fuzzy C‐means is 7.66% and 6.40%, respectively. In addition, by combining fuzzy C‐means clustering, the prediction accuracies of support vector regression and random forest are also improved to different degrees, which demonstrates that fuzzy C‐means clustering is helpful for improving the prediction accuracy of machine learning and thus has good applicability. …”
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Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches
Published 2025-02-01“…This paper introduces a type 2 fuzzy logic (T2FL)-based controller for maximum power point tracking (MPPT) in a high-gain three-level quadratic DC-DC boost converter (TLQDC-DCBC) designed for photovoltaic (PV) systems. …”
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1214
Impact of nanoparticles shapes and fuzzy volume fraction on Al2O3 – H2O nanofluid flow past an unsteady expandable surface
Published 2025-03-01“…This study investigates how fuzzy variable volume fractions of Al2O3 nanoparticles affect heat transfer in nanofluid flow over a stretching sheet, highlighting nanofluids as a promising thermal performance enhancer. …”
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Integrated Additive Manufacturing Trajectory Control and Repair Management for Spiral Bevel Gear Using Fractional-Order PID and Adaptive Fuzzy Neural Inference System
Published 2025-01-01“…By integrating these techniques in ANFIS, neural networks can adapt to varying conditions and fuzzy logic can efficiently handle imprecise data and mimic human decisions. …”
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Segmentasi Pelanggan E-Commerce Menggunakan Fitur Recency, Frequency, Monetary (RFM) dan Algoritma Klasterisasi K-Means
Published 2024-09-01“…The study proposes the K-Means algorithm and compares it with K-Medoids and Fuzzy C Means using publicly available e-commerce datasets. …”
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1217
Three Decades of Neutrosophic and Plithogenic Theories with their Applications (1995 - 2024)
Published 2024-11-01Get full text
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1218
Russian oil trade in the face of economic sanctions
Published 2025-04-01“…To achieve the best decision in the supply of the considered energy source, three steps must be considered for the application of the hierarchical fuzzy method, namely: 1) refining margin screening; 2) the fuzzy matrices of technical selection; 3) fuzzy ranking so that the decision maker has better conditions for his analysis. …”
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Advanced Trajectory Planning and Control for Autonomous Vehicles with Quintic Polynomials
Published 2024-12-01Get full text
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1220
Fault Diagnosis of Power Transformers With Membership Degree
Published 2019-01-01Get full text
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