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Showing 1 to 20 of 28 for “"membership function"”.
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Fuzzy Membership Function Initial Values: Comparing Initialization Methods That Expedite Convergence
… To effectively use fuzzy attributes, a fuzzy membership function must be defined to provide the boundaries for the fuzzy data. The initialization of these membership function values should allow the data to converge to a stable membership value in the shortest time possible. The paper compares …
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A Comparison of Methods to Construct an Optimal Membership Function in a Fuzzy Database System
A fuzzy set is one in which membership in a category is not Boolean, rather items have a degree of membership. Fuzzy databases expand on this idea by storing fuzzy data and allowing data to be retrieved based on its degree of membership. Determining the degree of membership that satisfies the …
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Modeling and Analysis in Supply Chain Design: Span of Control, Stochastic Dissimilarities, and Fuzzy Optimization
… level profit is highest under exponential membership function, storage level under linear membership function, and processing level under hyperbolic membership function. (D) Supply chain performance is enhanced but not significantly when the product quality, supply reliability, and …
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Determining fuzzy link quality membership functions in wireless sensor networks
… of crisp values to fuzzy values is done through membership functions. The shape of the fuzzy link quality estimator membership functions is primarily performed leveraging qualitative knowledge and an improper assignment of fuzzy membership functions can lead to poor route selection and hence to …
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Modified anfis architecture with less computational complexities for classification problems
… dependent on selecting the appropriate type of membership function. Furthermore, researchers have mainly used metaheuristic algorithms to avoid the problem of local minima in standard learning method. In this study, the experiments have been made to find out best suitable membership function for …
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An enhanced progressive fuzzy clustering approach to pattern recognition
… referred to as Cluster Prototype Centring by Membership (CPCM), has been developed. A Possibilistic Fuzzy c-Means algorithm(PFCM), which is also new, has been formulated to investigate properties of fuzzy clustering. PFCM extends the useability of the Fuzzy c-Means (FCM) algorithm by …
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Feature construction: An analytic framework and an application to decision trees
… features, the complexity of the concept-membership function can make SBL inaccurate, expensive, or simply impossible. One way to overcome this limitation is through feature construction: the construction of new features by the application of constructive operators to existing features. …
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Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system
… from K-means clustering are used to identify the membership functions, namely, triangle, trapezoidal and Gaussian membership functions. Furthermore, FIS models for each membership function are built for the household income class prediction based on clustering outputs. For verification, the root …
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Advances in fuzzy rule-based system for pattern classification
… input and the vagueness in the shape of the membership function. The aim of this study is to seek a better understanding of the properties of extensional fuzzy rule-based classifiers (FRBCs), namely non-singleton FRBC and interval type-2 FRBC. Besides, this research aimed at systemising the …
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Membership Functions for a Fuzzy Relational Database: A Comparison of the Direct Rating and New Random Proportional Methods
… values of the images, is determined through membership function. This paper compares two methods of constructing membership functions, the Direct Rating and New Random Proportional, to determine which method gives maximum users satisfaction with minimum feedback from the community. The …
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Simulation of speed control brushless DC motor using gaussian fuzzy logic controller
… problem, Fuzzy Logic controller with a Gaussian membership function is developed. The mathematical model of BLDC motor is derived. The controller is designed to tracks variations of speed references and stabilizes the output speed during load variations. The effectiveness of the proposed method …
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A study of type-2 fuzzy clustering
… through type-2 fuzzy sets, but it is prone to membership spread, i.e., the uncertainty in a membership function can become too large or broad during the iterative alternating optimization procedure. We devise three dampening approaches to mitigate this problem. Vertical cut dampening, linear …
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Three Essays on Choice -Based Estimations of the Economic Benefits of Contaminated Site Cleanup
… preference heterogeneity. We estimate the class membership probabilities prior to estimating the utility function within each class. We are able to address the income effect by incorporating the income category in the utility function rather than as a covariate in the class membership function. …
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Adaptive learning for event modeling and pattern classification
… a generalized multi-dimensional Gaussian membership function is constructed and formulated to make the fuzzy classification of blade engine damage modes among a group of engines containing historical flight data after Principal Component Analysis (PCA) is applied to reduce the excessive …
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Three Essays on Travel Demand Management Strategies for Traffic Congestion Mitigation
… in a dynamic modeling context. Triangular membership function is used to represent the linguistic variables and the joint effect is captured through fuzzy inference method. In this essay, the results obtained by employing fuzzy concepts are compared with the results that one would obtain …
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Hybrid fuzzy-proportionl integral derivative controller (F-PID-C) for control of speed brushless direct current motor (BLDCM)
… the speed of the BLDC motor. Various types of membership functions have been used in this project i.e., gaussian, trapezoidal and triangular are assessed in the fuzzy control and these membership functions are used in FUZZY PID for comparative analysis. The membership functions and the rules …
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Hybrid fuzzy- proportionl integral derivative controller (F-PID-C) for control of speed brushless direct curren motor (BLDCM)
… the speed of the BLDC motor. Various types of membership functions have been used in this project i.e., gaussian, trapezoidal and triangular are assessed in the fuzzy control and these membership functions are used in FUZZY PID for comparative analysis. The membership functions and the rules …
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Information extraction and integration in mineral exploration.
… occurrence evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect to the decision. An application of these methods to the Tombstone mineral district in southern Arizona demonstrates its ability to pick out circular features …
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Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting
… a model needs to have a versatile nonlinear membership function. Initially, a MIMO Adaptive Fuzzy Logic System (AFLS) model which incorporates a prototype defuzzification scheme, while utilising an efficient, compared to the Takagi–Sugeno–Kang (TSK) based systems, fuzzification layer has been …
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Characterizing the Frictional Interface in Friction Stir Welding
… tool and 1018 steel work piece interface as functions of temperature, velocity, and normal force. Two linear models were chosen. A statistical method called membership function regression was used to determine the coefficients of these two models. The resulting model has a correlation of …
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