Membership value
Membership Function Modification in Fuzzy SVM using Combination of Distance Feature, Correlation, and Depth of Data
... proposed membership function to the algorithm. Generally, the proposed membership functions tend to produce a high membership ...high value in one of the three variables, then this point may ...
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Dental X-ray Image Segmentation using Gaussian Kernel-Based in Conditional Spatial Fuzzy C-means
... The other drawback of the FCM algorithm is a number of points in the clusters that almost equal; nearly all points do not have a membership value of one cluster and the outliers data always affect a poor ...
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Seed selection strategy in global network alignment without destroying the entire structures of functional modules
... changeable. Membership values are related to the current aligned ...by membership values, then a node in G should be aligned to the node that they can get the highest similarity score ...changeable ...
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Subband Adaptive Shrinkage Function Using Fuzzy Logic
... fuzzy membership function defines how the input space is mapped into a membership value between 0 and ...the membership functions are used to choose the optimal threshold value for ...
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A Fuzzy Based Modeling for Assessment of Soil Degradation Due to E-Wastes
... the membership value is 1 and when a statement is completely false the membership value is 0 and when the statement is partially true and partially false then the membership ...
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A Model for Mining Course Information using Vague Association Rule
... single membership value in fuzzy set theory [6] by using interval- based membership that captures three types of evidence with respect to an object in a universe of discourse: support, against and ...
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Volume 2, Issue 3, March 2013 Page 459
... Although twin support vector machine (TSVM) has faster speed than traditional support vector machine for classification problem, it does not take into account the importance of the training samples on the learning of the ...
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Strength of strong cycle connectivity in bipolar fuzzy graphs
... positive membership value of the edge is minimum and the negative membership value of the edge is ...bership value and atleast two negative edges with maximum membership ...
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Fuzzy Graph Coloring Technique to Classify the Accidental Zone of a Traffic Control
... their membership values are depicted in table ...the membership value of that path is ...the membership value of that path is ...the membership value of that path is low. ...
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A Study on Bidiagonal Type-2 Triangular Fuzzy Matrices
... a membership function, i.e., the membership value for each element of this set is a fuzzy set in [0,1], unlike an ordinary fuzzy set where the membership value is a crisp number in ...
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Learning a Lexicalized Grammar for German
... step: In figure 5, only two potential linkages are given at~er the remaining words are connected, the overall membership value for these linkages is calcu- lated in step 7... step: This [r] ...
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A NOVEL LEADER ELECTION ALGORITHM FOR HONEYCOMB MESH NETWORKS
... Similar with RSI, SO will be also defined by three Gaussian MF. Numerical variable of SO will be changed into fuzzy variable and we will find the membership value. The computation of 𝑐, 𝜎 is a bit similar ...
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Application of Fuzzy Graph Coloring in Traffic Light Problem
... In this problem, we represent each traffic flow using the vertices of the fuzzy graph and their membership value depends upon the number of the vehicle of that road.. Two vertic[r] ...
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Equivalence class in the set of fuzzy numbers and its application in decision making problems
... In this paper, the objective of introducing fuzzy equivalence class is to find the member- ship value of arithmetic operations of a large number of same type of fuzzy numbers and to apply this in fuzzy ...
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... Example 2:there are two idioms in China, three monks no water to drink and three smelly shoe makers are smarter than one Kong Ming, the cooperation effect of shoe makers and monk can be described like this : there is ...
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Loyalty Card Membership Challenge: A Study on Membership Churn and their Spending Behaviour
... and membership churn for a loyalty card company in ...model membership churn based on the last 24 months’ membership data to identify factors that influence membership churn so that effective ...
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Fusion of Gaussian Mixture Model and Spatial Fuzzy C Means for Brain MR Image Segmentation
... In TABLE I above, the similarity and overlap values of the four algorithms; Fuzzy C-Means (FCM), K-Means, Spatial Fuzzy C-Means (sFCM) and the proposed spatial Fuzzy K-Means Algorithm (sFCMKA) are being depicted. From ...
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Title: A Hybrid Method for Edge Detection Using Fuzzy Rules and Coordinate Logic Operators
... Appropriate Membership Functions Defined for Each ...Predetermined Membership Functions Are Employed To Detect Discontinuity in Group ...Fixed Membership Functions for Edge ...Suitable ...
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Vol 8, No 7 (2017)
... Assign any value satisfying the condition of fuzzy graph as the membership values of the vertices.. Example 3.8: Let us illustrate the procedure described in the above theorem by the fo[r] ...
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ACL Membership List
... Freiling Computer Science Oregon State University Corvallis, OR 97331.. Moran Computer Science Oregon State University Corvallis, OR 97331.[r] ...
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