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Advances in Fuzzy Systems
Scopus
ISSN 1687-711X · Wiley · 370 artikel di indeks
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Artikel Jurnal
Heterogeneous Fuzzy Group Decision-Making Model With Mixed Criteria
Organizational decisions, often originating from diverse groups of managers with varying criteria, encounter challenges due to the inherent ambiguity in human judgments, particularly those involving preferences. This paper proposes a nuanced solution using a heterogeneous fuzzy group…
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Artikel Jurnal
A Novel Multicriteria Decision-Making Approach Incorporating Pythagorean Hesitant Fuzzy Sets for Endangered Species Habitat Selection
Pythagorean hesitant fuzzy sets (PHFSs) effectively represent uncertain information in decision-making by accommodating situations where the sum of membership and nonmembership degrees exceeds 1, provided their squared sum remains at most 1. This study proposes a novel distance measure for PHFSs…
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A Cross-Entropy-Driven MABAC Method Under Interval-Valued q-Rung Orthopair Fuzzy Sets
Cross-entropy is a useful tool for quantifying the divergence between systems. In this paper, we develop an interval-valued q-rung orthopair fuzzy cross-entropy measure. Subsequently, the satisfaction-based cross-entropy (SCE) is derived from the compromise rule, integrating decision-makers’ risk…
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Artikel Jurnal
A Hybrid Interval Type 3 Fuzzy Logic Framework With Adaptive Learning for Nonlinear Control: Application to Type 1 Diabetes
This paper presents a novel hybrid control strategy for a specific class of nonlinear systems based on interval Type 3 fuzzy logic systems (IT3-FLSs), and its effectiveness in the management of Type 1 diabetes is demonstrated. The main achievements of this work can be summarized as the following…
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Artikel Jurnal
Fuzzy Quantile Regression Model With Z-Numbers and Its Application in an Ambiguous Clinical Situation: Case Study in Heart Disease
Nowadays, Z-numbers are known as the most powerful tool for describing the uncertainty process concerning the degree of confidence. In this matter, regression based on Z-numbers is called an essential issue because it establishes a functional relationship among Z-number variables. More importantly…
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Artikel Jurnal
Energy-Aware Fuzzy Logic Approach for Optimising Relay MAC Protocols in WBANs for e-Healthcare Systems
Wireless body area networks (WBANs) play a vital role in saving lives by accurately measuring physiological information in a cost-effective manner. However, reliability and energy consumption remain major constraints in WBANs. Many researchers have claimed that transmission through relay nodes can…
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A Decision-Making Problem for Smartphone Selection Using Neutrosophic Distance Measures
A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived for the complement of the proposed distance measure. This research paper…
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Artikel Jurnal
Multidimensional Topological Measure Spaces and Their Applications in Decision-Making Problems
This paper presents a generalized framework termed the multidimensional topological measure space (MDTMS), developed through multidimensional fuzzy sets, multidimensional topology, and an associated distance measure. The suggested framework enhances traditional fuzzy models by facilitating a more…
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Evaluating Sustainable Business Model Innovations Under ESG by Signed Distance Based Intuitionistic Fuzzy MCDM Method
This paper addresses critical limitations in the application of intuitionistic fuzzy sets (IFSs) for complex decision-making problems under uncertainty. While IFSs offer a robust framework for modeling imprecision through membership, nonmembership, and hesitancy degrees, existing methodologies…
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Strategic MARCOS Model for Optimizing Renewable Energy Investments Under Pythagorean Hesitant Fuzzy Assessments
For sustainable growth, investments in renewable energy must be maximized. Maximizing investments in renewable energy opens the door to a more successful and environmentally friendly future. Analyzing technological viability, cost-effectiveness, regulatory compliance, and environmental impact are…
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Artikel Jurnal
Score Function Algorithmic Approach in Optimizing Dual Hesitant Fuzzy Multiobjective Transportation Models
Multiobjective transportation problem (MOTP) seeks to optimize multiple, often conflicting objectives within transportation and logistics systems. However, in real-world scenarios, parameters such as transportation costs, time, availability, and demand are inherently uncertain. To address these…
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Artikel Jurnal
A Dynamically Self-Adaptive Type 1 Fuzzy Logic System for the Modelling of Fused Deposition
In this research paper, a dynamically self-adaptive Type 1 fuzzy logic system (T1FLS) is presented to simulate the 3D printing fused deposition modelling (FDM) process. The need for such a dynamically self-adaptive system stems from (i) the dynamic nature of manufacturing processes, in particular…
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Artikel Jurnal
Software Fault Prediction With an Iterative Fuzzy Logic System Considering Interpretability With Imbalanced Datasets
Users expect software to be error-free; however, preventing faults in software while being developed is difficult. Although predicting faults in software is arduous, it radically helps to improve the software quality. Due to the complexity of software, time, and budget limitations, such prediction…
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Artikel Jurnal
Type-3 Fuzzy System-Based Intelligent Control Approaches and Applications
Type-3 fuzzy logic has been recently used in many control methods. The type-3 fuzzy controller enhances the handling of uncertainty and improves robustness by integrating fuzzy sets with fuzzy membership functions. The latest approaches using type-3 fuzzy logic in the field of control are studied…
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Artikel Jurnal
Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib-Matrix-TP1 Method
Transportation Problem (TP) is considered a combinatorial optimization problem, and its aim is to minimize the total transportation cost from several sources to different destinations. In this paper, an intensive literature review of the TP is presented in detail with an enhancement of the novel…
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Optimal Industrial Waste Management Strategy for Pakistan Steel Mill Corporation Using Complex Spherical Fuzzy Einstein Aggregation Information
Industrial waste involves any hazardous substance, chemical, or byproduct and waste discharged during the operation of an industry. Due to its nature and probable detriment to the environment, industrial waste is a great matter of concern for governments all over the world. Selection of…
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Exploring n-Dimensional Fuzzy Soft Sets: A Framework for Multicriteria Decision-Making Problems
This study introduces several operations on n-dimensional fuzzy sets, including union, intersection, and complement, and examines the validity of De Morgan’s law within this framework. To further elucidate the conceptual underpinnings, the study also presents illustrative examples of t-norm…
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A Novel Ranking Method for Trapezoidal Fuzzy Soft Sets and Applications in Multicriteria Decision-Making
Fuzzy set theory is a versatile concept that finds applications in various fields such as mathematics, engineering, control engineering, computer science, and artificial intelligence. When there is uncertainty in the data and/or information available to make a decision, fuzzy numbers play a…
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An Effective Method of Analysing Student Performance Using Fuzzy Numbers
In the context of rapid scientific and technological advancements, engineering is increasingly becoming a vital career choice. However, students from rural areas often encounter significant challenges in their engineering studies and extracurricular activities, leading to higher dropout rates…
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Artikel Jurnal
On the Cardinality and Power Set of Fuzzy Sets and Multiple Sets
A multiple set is a generalized version of a fuzzy set that deals with the uncertainty of an object along with its multiplicity. This work is a comparative analysis of the fundamental conclusions based on the cardinality of the classical set and fuzzy set. Several classical results based on fuzzy…