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Fuzzy Information and Engineering
Scopus
ISSN 1616-8658 · Tsinghua University Press · 213 articles in the index
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Journal Article
Agricultural land selection by using multicriteria group decision-making based on rough intuitionistic Fuzzy frank power operations
The agricultural industry plays a vital role in the progress of any agrarian country. So, the utilization of land is a challenging task for agricultural engineers. It is challenging for agrarian engineers to determine the suitability of different land types for various crops. In this critical…
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Journal Article
Extension hoops and states
We first introduce a new kind of algebras named left Ehoop, in which the top element “1” is changed as one of the maximal elements. Therefore, left Ehoops are generalizations of left hoops, which is one of the most fundamental fuzzy logic algebras as the semantical system of fuzzy logic system…
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Journal Article
Compact and locally compact spaces via the class of soft δ-open sets
One popular approach to studying topological concepts is to employ a subclass of topology, such as clopen, regular open, and δ-open sets. Motivated by the advantages of soft topology over classical topologies, we investigate some of these classes in a soft setting. We begin this manuscript by…
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Journal Article
Optimizing berth allocation problem with irregular layout using an improved genetic algorithm under uncertain conditions
This study addresses the berth allocation problem (BAP) in container terminals with irregular layouts under epistemic uncertainty conditions, proposing a mixed-integer linear programming (MILP) model to minimize operational costs via spatial-temporal optimal vessel assignments. To tackle the…
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Journal Article
An efficient fuzzy logic-integrated hybrid deep learning framework for medical diagnosis
Medical diagnosis involves analyzing symptoms, test results, and patient histories, but uncertainty from vague symptoms and incomplete records complicates the process. Fuzzy logic-based systems address this issue but often depend on manual rule creation, which is time-consuming. This research…
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Journal Article
Algorithm for the assessment of energy storage devices using circular intuitionistic fuzzy information-based Dombi aggregation operators
Circular intuitionistic fuzzy sets (C-IFS) have lately been regarded as a modified form of intuitionistic fuzzy sets (I-FS). But they are regarded solely for certain elementary algebraic characteristics. This study enhances C-IFS in Dombi aggregation operators (AOs) by including more mathematical…
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Journal Article
A novel distance measure of p, q-quasirung orthopair fuzzy sets and its application to cryptographic algorithm selection for securing IoT devices
The rapid growth of Internet of Things (IoT) devices has heightened the need for robust cryptographic algorithms to safeguard sensitive data. Selecting the most appropriate algorithm, however, requires a systematic decision-making framework capable of addressing uncertainty and imprecision in…
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Journal Article
A multi-attribute decision-making system for facial recognition software evaluation using complex picture fuzzy soft sets
Technological advancements and artificial intelligence raise security concerns, with facial recognition being a particularly effective security measure. Choosing the best facial recognition software involves a comprehensive decision-making approach due to its sensitivity and potential ambiguities…
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Journal Article
On controllability results for Hilfer–Katugampola fuzzy fractional differential equations via measure of noncompactness
The study explores controllability results for fuzzy fractional differential equations involving the Hilfer–Katugampola fractional derivative, a generalization of the Riemann–Liouville and Hadamard fractional derivatives. It establishes existence conditions for mild solutions by applying fractional…
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Journal Article
An alternative approach to solve fuzzy system of equations using normalized type 2 triangular fuzzy numbers
In this paper, a new parametric approach is developed to solve a fuzzy system of equations with type 2 fuzzy uncertainties. NT2TFN are introduced as uncertain values in the fuzzy system of equations. Different properties of NT2TFN are discussed and a simplified transformed representation is…
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Journal Article
A computational strategy based on the residual power series method with the help of the Laplace transforms
In this article with the external source terms, we have successfully developed approximate solutions of one-dimensional fuzzy fractional partial differential equations using the Laplace residual power series method. The generalized algorithm of the proposed technique is formulated under the Caputo…
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Journal Article
A novel approach for solving multi-objective fuzzy-stochastic programming problem by using goal programming
Multi-objective optimization problems frequently arise in real-world systems where decision-makers face objectives that are conflicting, imprecise, or uncertain. Goal programming (GP) provides a systematic framework for resolving such conflicts by defining aspiration levels and minimizing…
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Journal Article
Exploring Bounded Linear Operators in Neutrosophic Normed Linear Spaces
This study focuses on analyzing the convergence of the product of sequences and investigating the Cauchy sequences under specific conditions within neutrosophic normed linear spaces (NNLS). Additionally, we define various types of bounded linear operators (both strong and weak) that constitute a…
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Journal Article
Railway Sleeper Selection via an Integrated Spherical Fuzzy Decision-Making Approach
Railway sleeper selection is an important aspect of railway infrastructure design and construction. This process involves choosing the optimal materials for railway sleepers by considering multiple conflicting factors. The present study addresses the railway sleeper selection problem within a…
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Journal Article
A Novel Framework for Enhanced Rainfall Estimation and Forecasting Using Interval Type-2 Fuzzy Systems
Accurate weather prediction is essential for mitigating the impacts of natural disasters, particularly in coastal areas vulnerable to cyclones and intense rainfall. This study aims to improve rainfall forecasting accuracy in cyclone-prone regions through a novel Interval Type-2 Fuzzy Logic System…
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Journal Article
Integrating Fuzzy C-Means and DBSCAN: A Hybrid Approach to Medical Data Mining
Medical data mining is crucial to gain meaningful insights from complex healthcare databases. Medical data sometimes exhibits ambiguity and overlap due to inconsistent diagnosis and varying patient situations. This work proposes a hybrid clustering strategy that combines Fuzzy C-Means (FCM) with…
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Journal Article
Algebraic Aspects of Crossing Cubic BE-Algebras
Recently, interval-valued fuzziness and negative structures have gained popularity among researchers and have been widely used in algebraic structures such as semigroups, rings, and lattices. The crossing cubic structure (CC) is an expansion of a bipolar fuzziness structure and a parallel circuit…
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Journal Article
A New Interval-Valued Fuzzy Set Knowledge and Accuracy Measure with Applications in Multi-Criteria Decision-Making and Recognizing Patterns
Fuzzy sets with interval values are a generalization of conventional fuzzy sets. The theoretical understanding of interval-valued fuzzy sets rests under the presumption that each element possesses a single real-valued truth membership degree that falls within a specified interval. Information and…
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Journal Article
Refined Minimization of Trapezoidal Fuzzy Quadratic Function: A Fuzzy-Parametric Steepest Descent
This article presents a fuzzy parametric steepest descent approach to address the nonlinear fuzzy optimization problem to achieve improved and refined optimal solutions. Specifically, we examine a quadratic function with trapezoidal fuzzy coefficients. We introduce a unique strategy for expressing…
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Journal Article
FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method
Semi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process. Despite their efficiency and straightforwardness, SSCs encounter some fundamental issues. Generally, the…