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A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory
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EEG-Based Emotion Recognition with Combined Fuzzy Inference via Integrating Weighted Fuzzy Rule Inference and Interpolation
Published 2025-01-01Subjects: Get full text
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Object Boundary Detection Using Active Contour Model via Multiswarm PSO with Fuzzy-Rule Based Adaptation of Inertia Factor
Published 2016-01-01“…In this paper, we propose using a set of fuzzy rules to adjust the inertia weight on the basis of the current normalized snake energy and the current value of inertia. …”
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A Novel First-Order Fuzzy Rules-Based Forecasting System Using Distance Measures Approach for Financial Market Forecasting
Published 2023-01-01“…Taking into consideration the theory of fuzzy sets, FTS, fuzzy rules, triangular membership functions, distance measures, and modified weighted average method, a robust and effective fuzzy rules-based methodology was developed for the prediction of time-series data regarding crop production and share prices. …”
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Design and simulation of an intelligent irrigation system using fuzzy logic
Published 2025-01-01Subjects: Get full text
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Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm
Published 2025-04-01Subjects: Get full text
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Network intrusion detection method based on improved FCM and rule parameter optimization in cloud environment
Published 2018-01-01Subjects: Get full text
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Hierarchical Fuzzy Framework for EV Supported Islanded Microgrid Frequency Stabilization
Published 2024-01-01Subjects: Get full text
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Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
Published 2009-04-01“…Using a specific structure of a chromosome, a special mutation operation and an adequate fitness function the proposed methodology makes it possible to select a fuzzy rule base, to minimize a number of rules, rationally to place input sets of fuzzy functions and corresponding arrangement of output singletons in the form of single-element sets. …”
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A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization
Published 2020-01-01“…Modelling took several steps, including fuzzification, fuzzy rule base, fuzzy inference engine, and defuzzification. …”
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Hybrid architecture based on fuzzy classifier and multiplayer feed-forward neural network for speaker identification
Published 2005-01-01“…Then, for each cluster, a fuzzy rule with a hyperellipsoidal region was defined around a cluster center. …”
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Qualitative and quantitative knowledge of metasynthesis based on fuzzy system
Published 2024-12-01“…It can not only use the qualitative knowledge of experts, but also learn fuzzy rules from the data, and use the way of rule mapping to realize the system decision of uncertain problems. …”
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Fuzzy-Based Adaptive Countering Method against False Endorsement Insertion Attacks in Wireless Sensor Networks
Published 2015-07-01“…Therefore, the present study proposes a fuzzy-based centralized method for detecting and adaptively countering FEIAs in dense WSNs, where two fuzzy rule-based systems are used to detect an FEIA and to select the most effective countermeasure against the FEIA. …”
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A Fuzzy Inference System for the Conjunctive Use of Surface and Subsurface Water
Published 2013-01-01“…The operating rule for the water systems is that the more abundant water system supplies more water. By using the fuzzy rule, the FIS conjunctive use model easily incorporates expert knowledge and operational polices into water resources management. …”
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Adaptive Reduced Dimension Fuzzy Decoupling Control Method with Its Application to a Deployable Antenna Panel
Published 2018-01-01“…Based on Lyapunov stability theory, it was shown that the error of fuzzy interference observer and the error between the fuzzy rule post parameter matrix and optimal post parameter matrix converge to a small region. …”
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Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization
Published 2012-01-01“…The formation of a subset of meaningful features and a subset of essential instances is discussed in the context of fuzzy-rule-based models. In contrast to the existing studies, which are focused predominantly on feature selection (namely, a reduction of the input space), a position advocated here is that a reduction has to involve both data and features to become efficient to the design of fuzzy model. …”
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Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach
Published 2016-01-01“…Sensor nodes with higher energy are trained with center location of base station to select energy aware cluster heads. Fuzzy rule is used in fuzzy logic part that inputs to form clusters. …”
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A Novel Rules Based Approach for Estimating Software Birthmark
Published 2015-01-01“…For this purpose, the concept of soft computing such as probabilistic and fuzzy computing has been taken into account and fuzzy logic is used to estimate properties of birthmark. The proposed fuzzy rule based technique is validated through a case study and the results show that the technique is successful in assessing the specified properties of the birthmark, its resilience and credibility. …”
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Fuzzy Sliding Mode Control of Plate Vibrations
Published 2010-01-01“…This is important because an abrupt decay can excite higher modes in the structure. Fuzzy rule base consisting of nine rules, is generated from the sliding mode inequality. …”
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