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Journal of Fuzzy Extension and Applications
Scopus
ISSN 2783-1442 · Ayandegan Institute of Higher Education, · 231 artikel di indeks
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Performance evaluation of machine learning algorithms with fuzzy logic for intrusion detection in VANET network
In recent years, Vehicular AD-HOC Networks (VANETs) have become a cornerstone in the advancement of Intelligent Transportation Systems (ITS), facilitating real-time communication between vehicles and infrastructure. While VANETs offer promising advancements in transportation, their inherent…
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Applications of similarity measure of trapezoidal fuzzy numbers in site selection problems and risk analysis
This paper aim to proposes a novel approach to the site selection problem by utilizing the fuzzy distance of Generalized Trapezoidal Fuzzy Numbers (GTrFNs). The study defines a new distance measure for GTrFNs that considers the point of intersection, left spread, right spread, and their weights…
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On m-polar (α, β)-fuzzy Sheffer stroke Hilbert algebras
This paper aims to develop and expand several concepts related to the generalization of fuzzy sets within the framework of Sheffer stroke Hilbert algebras. We introduce the concept of m-polar (α, β)-fuzzy structures and investigate their application to Sheffer stroke Hilbert algebras. In…
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Picture anti-fuzzy interior ideals of semi-groups
Notions of Picture fuzzy sets (PFSs) offers significant benefits when it comes to handling vagueness and complexity. Moreover, fuzzy data play a crucial role in capturing uncertain nature of subjective decisions, allowing for adaptable evaluation of fuzziness and imprecision. Aims of this study to…
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Linguistic linear diophantine fuzzy Sugeno border approximation area comparison: Application in green supply chain management
The Linguistic generalzied Fuzzy Set (FS) is more efficient and effective for depicting awkward and uncertain data compared to existing models. In this manuscript, we describe the Sugeno-Weber laws for linguistic generalzied fuzzy information. Because these operational laws will help us in the…
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A dual-algorithmic neutrosophic structured element framework for solving linear complementarity problems
The Linear Complementarity Problem (LCP) is a cornerstone in optimization, game theory, and variational inequalities. Existing fuzzy and neutrosophic extensions improve uncertainty handling, but they often lack a structured formulation that ensures solvability and interpretability. To fill this…
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A hybrid decision making technique of CoCoSo and entropy methods on trapezoidal fuzzy multi numbers and its application
The main purpose of this paper is to develop a new application approach for trapezoidal fuzzy multi numbers by integrating the Combined Compromise Solution (CoCoSo) and entropy methods, both of which are widely recognized Multi-Criteria Decision-Making (MCDM) techniques. To demonstrate the…
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Einstein aggregation operators for p, q, r-frational fuzzy sets: A framework for decision-making in cellular tower allocation
The p, q, r-fractional fuzzy (p, q, r-FF) sets generalize fuzzy, intuitionistic fuzzy, and picture fuzzy sets, offering more versatility in managing uncertainty. In this paper, we introduce Einstein operations for p, q, r-FF sets and analyze their salient characteristics. Using these operations as…
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An algebraic composition operator on intuitionistic fuzzy soft set evaluations for multi-evaluator decision-making
In multi-evaluator decision-making, it is important not only to aggregate fuzzy information but also to preserve the structural and algebraic properties of each evaluation. This paper proposes a binary composition operator between evaluators, each represented as an Intuitionistic Fuzzy Soft Set…
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Fuzzy DEA/DA for customer credit classification and prediction
Customer credit risk assessment is crucial for the financial stability of leasing companies. While Data Envelopment Analysis/Discriminant Analysis (DEA/DA) models have been widely used in finance, limited attention has been given to their application under fuzzy data environments in the leasing…
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Investigation of fuzzy pre m-open sets and their applications via fuzzy ideal topological spaces
In this work, we introduce a new type of fuzzy local function on fuzzy ideal spaces by using the notion of fuzzy pre m-open sets obtained from fuzzy pre-open sets, and explore several properties of them. We show that this given type and fuzzy local function (fuzzy α-local function) are independent…
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Ordered fuzzy rings and substructures: Operations, homomor-phisms, and convex structures
This study advances the theoretical framework of ordered fuzzy rings (OFRs) by examining the structural relationships among ordered fuzzy subrings (OFSRs) and ordered fuzzy ideals (OF Is). The motivation stems from the need to extend classical ring theory into fuzzy and partially ordered settings…
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From foundations to frontiers: Half a century of fuzzy logic research in Iran
Iran is currently the 4th most productive country with 15,392 publications and 367,510 total citations to fuzzy research through its researchers, whose work reflects a growing interest in both the theoretical and applied aspects. However, the extent and impact of these contributions remain…
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Efficient neutrosophic exponential estimators for accurate population mean estimation in simple random sampling
Neutrosophic statistics extend the classical statistical methods by incorporating elements of indeterminacy and provide a powerful tool for handling imprecision and uncertainty in data. The objective of this paper is to introduce the efficient neutrosophic exponential estimators designed to meliorate…
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Higher-order spherical fuzzy forecasting for HIV trend prediction
The need to perform a multiple-time series forecast arises many times in business and other circumstances. The Spherical Fuzzy Set (SFS) is the most popularly applied and competent method of solving uncertainty. SFS is an even newer utility compared to fuzzy sets and other type of fuzzy set…
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Fitting an intuitionistic fuzzy black-derman-toy model of yield curve to price interest rate derivatives
Since the early 21st century, the Fuzzy Random Option Pricing (FROP) literature has emerged as an active field within fuzzy mathematics. Mainstream contributions model the epistemic uncertainty of parameters governing the stochastic variation of underlying asset prices through Fuzzy Numbers (FNs)…
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Distance-based ranking of generalized fuzzy numbers and F-CoCoFISo decisionmaking
The uncertainty inherent in real-world problems is a critical concern in decision-making processes. The limitations of classical set theory in handling qualitative data are effectively addressed through fuzzy set theory. In fuzzy multi-criteria decision-making (MCDM) frameworks, data sets are…
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A fuzzy VNS approach for the two-echelon location-routing problem with simultaneous pickup and delivery under uncertainty
The Two-Echelon Location-Routing Problem with Simultaneous Pickup and Delivery (2E-LRPSPD) is a critical challenge in logistics and transportation, requiring the optimal placement of primary and secondary warehouses and the routing of vehicles to satisfy both pickup and delivery demands. The…
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An integrated approach combining autoencoders with fuzzy C-means and Chebyshev distance for enhanced genomic clustering in cancer research
Genomic clustering is one of the vital tools in cancer research for uncovering hidden patterns within complex genetic datasets. Despite advancements in various clustering techniques, conventional methods often struggle with high-dimensional genomic data due to noise sensitivity and difficulty in…
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Interval valued m-polar fuzzy ideals in ordered semigroups: A structural analysis
The main results of this paper involve the development of a novel theoretical framework by integrating interval-valued m-polar fuzzy (IV mP F) sets into the structure of ordered semigroups. This integration enhances the ability to model complex systems characterized by uncertainty, imprecision…