Mapping Fuzzy Sets into Membership Functions
Fuzzy membership functions in privacy preserving data mining
... with Fuzzy Logic Fuzzy logic can be applied in Privacy preserving data mining for anonymization of data to preserve sensitive data in a ...Certain membership functions can be used to fuzzify ...
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Fuzzy BCI subalgebras with interval valued membership functions
... Fuzzy sets were initiated by Zadeh ...a fuzzy set by an interval-valued fuzzy set (i.e., a fuzzy set with an interval-valued membership ...interval-valued fuzzy set is ...
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Fuzzy Membership Functions: Selection Techniques and Implementation in WSN
... a. Subjective evaluation and elicitation Since fuzzy sets are usually intended to model cognitive states and they can be determined from certain elicitation procedures. These procedures are provided by the ...
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Belief functions on MV-algebras of fuzzy sets: An overview
... Belief functions are the measure theoretical objects Dempster-Shafer evidence theory is based ...as fuzzy sets, and we discuss several properties of these generalized mea- ...
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Measuring the directional or non-directional distance between type-1 and type-2 fuzzy sets with complex membership functions
... Abstract—Fuzzy sets may have complex, non-normal or non- convex membership functions that occur, for example, in the output of a fuzzy logic system or when automatically generating ...
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Comparative Analysis of COCOMO81 using Various Fuzzy Membership Functions
... The proposed framework will allow fuzzy and expert knowledge incorporation into the system. 3. PROBLEM STATEMENT Inaccuracy in software cost estimation affects many software projects and this is apparent for ...
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On Development of Fuzzy Controller: The Case of Gaussian and Triangular Membership Functions
... of Fuzzy set theory has been popularised for handling overlap domains in control engineering but this has mostly been within the context of triangular membership ...the membership functions ...
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Type 2 fuzzy elliptic membership functions for modeling uncertainty
... Introduction Fuzzy logic has had a significant impact on identification and control prob- lems since it was firstly proposed by Zadeh in 1965 ...[1]. Fuzzy logic owes its exceptional scientific reputation ...
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Type-2 Fuzzy Elliptic Membership Functions for Modeling Uncertainty
... Introduction Fuzzy logic has had a significant impact on identification and control prob- lems since it was firstly proposed by Zadeh in 1965 ...[1]. Fuzzy logic owes its exceptional scientific reputation ...
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Intuitionistic Fuzzy BRK-ideal of BRK-algebra with Interval-valued Membership and Non Membership Functions
... the membership grades for a fuzzy set. Thus, interval-valued fuzzy sets provide a more adequate description of uncertainty than the traditional fuzzy ...interval-valued fuzzy ...
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Bilevel Linear Programming Problems with Quadratic Membership Functions of Fuzzy Parameters
... Abstract—This article considers bilevel linear programming problems where the coefficients of the objective functions in the problem are given as a possibilistic variable characterized by a quadratic ...
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Fuzzy Programming With Quadratic Membership Functions For Multi-objective Transportation Problem
... These membership functions are defined, by taking the lower and upper values of the objective functions into ...quadratic membership functions are determined by the lower and upper ...
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Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
... 3 Fuzzy approach Modeling real problems typically involves processing uncertainty of three ...by fuzzy set theory. Fuzzy uncertainty deals with situations where boundaries of the sets ...
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Determining Fuzzy Link Quality Membership Functions in Wireless Sensor Networks
... A fuzzy set is described by its membership function. The membership function’s shape is very important and should be designed carefully since it will affect the performance of the fuzzy ...
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Fuzzy Logic Controller Design for A Robot Grasping System with Different Membership Functions
... between fuzzy set membership function in a robot grasping system by using fuzzy logic ...A fuzzy logic based robot grasping system that has three fingers are used for evaluations which ...
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NONCONVENTIONAL MEMBERSHIP FUNCTIONS FOR IMAGES FILTERING USING FUZZY PEER GROUP APPROACH
... a fuzzy peer group Experiments The action of fuzzy peer group filter using the proposed membership functions has been tested experimentally without merging into the ...
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Comparative Analysis of Fault Detection in Transformers using different Fuzzy Membership Functions
... crisp sets used to classify the codes are not sufficient to handle the boundary conditions of the gas ratios especially when the values are closed to the threshold values of ...the Fuzzy Rogers Ratio ...
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Empirical Fuzzy Sets
... describing fuzzy sets (FSs) and a new form of fuzzy rule-based (FRB) systems, namely, empirical fuzzy sets (εFSs) and empirical fuzzy rule-based (εFRB) ...the membership ...
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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER
... 3.2 Rule Base Design Rule base is basically a matrices that to determine the controller output from their input(s) as it holds the input/output relationships [8]. As to provide a natural structure to convert the human ...
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RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER
... 2.4 Automatic Segmentation of Brain Tumor Several methods have been discussed for MRI brain tumor segmentation. References such as [38- 41] have divided segmentation techniques into four major classes: Threshold-based ...
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