Fuzzy Sets Membership Functions
Fuzzy membership functions in privacy preserving data mining
... Using Fuzzy based membership function, data values in a database are anonymize the sensitive ...shape membership functions, data standard database are converted to fuzzified ...the ...
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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
... The example we presented at the beginning of this section —the murder of Mrs Jones [52]— can be adapted to the context of belief functions on fuzzy sets as follows. Example 7.4. Recall the 3 suspects ...
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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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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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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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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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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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Fuzzy Logic Controller Design for A Robot Grasping System with Different Membership Functions
... proposed fuzzy membership function. As explained above the fuzzy logic steps, the system attempts to understand the performance of different fuzzy sets membership in selecting ...
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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
... The key requirement is to design an adaptive controller that has the capability of generalizing with high accuracy from the training cases. This requirement is achieved through the wavelet neural network training and ...
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FUZZY IDEALS OF NEAR-RINGS WITH INTERVAL VALUED MEMBERSHIP FUNCTIONS
... Keywords: Fuzzy set; Near-ring; Fuzzy ideal; Level set ring, and we obtain an exact analogue of fuzzy ...L- fuzzy prime ideals of R and the set of all i-v L-fuzzy prime ideals of R′, ...
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Software Effort Estimation using Fuzzy Logic Membership Functions
... various membership functions and measure mean square error for software effort ...Eight membership functions available in fuzzy logic are used and a comparison is made to find out which ...
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Comparative Analysis of COCOMO81 using Various Fuzzy Membership Functions
... different membership functions. Fuzzy logic-based estimation models are more suitable when formless and inaccurate information is to be ...proposed fuzzy COCOMO model consists of a collection ...
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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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An Efficient Representation Format for Fuzzy Intervals Based on Symmetric Membership Functions
... for fuzzy intervals, we show that it is possible to halve the number of operations and divide by 2 to 8 the memory requirements compared to conventional ...of fuzzy arithmetic operations written in CUDA and ...
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