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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 51 for “"Membership functions"”.
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Facial Expression Cloning with Fuzzy Membership Functions
… The system described in this thesis uses fuzzy membership functions and subtractive clustering to represent faces and expressions in an intermediate space. This intermediate space allows expressions for face models with different resolutions to be compared. The algorithm is trained for each pair …
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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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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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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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Robust Control of Networked Control Systems with Random Communication Delays
… a series of local linear models blended using membership functions. In this thesis, robust fuzzy H1 state feedback, robust fuzzy H1 filter and robust fuzzy H1 dynamic output feedback controller design are considered where the nonlinear NCSs are described by T-S fuzzy model, with main focus on …
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Multi-spectral light interaction modeling and imaging of skin lesions
… of 10%. The Extended ADWAT method and Fuzzy Membership Functions method using combined features from the epi-illuminance and multi-spectral images further improve the sensitivity and specificity of melanoma diagnosis. The combined feature set with the Extended-ADWAT method gives a true …
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A fuzzy logic solution for navigation of the Subsurface Explorer planetary exploration robot
… or use complex methods for tuning fuzzy membership functions and rules. These qualities make them too computationally intensive to be used for planetary exploration robots like the SSX. In this thesis, we introduce an unsupervised fuzzy logic algorithm that can determine a trajectory for …
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The development of hybrid intelligent systems for technical analysis based equivolume charting
… of the Volume Adjusted Moving Average (VAMA) membership functions is introduced to evaluate the effectiveness of using a hybrid intelligent system that integrates neural networks, fuzzy logic, and genetic algorithms techniques for increasing the efficiency of technical analysis based …
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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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Evaluation of the Performance of Customer Service Representatives in a Call Center Using DEA/ Network Model/ Fuzzy Sets
… is captured using the fuzzy sets. The triangular membership functions were used to describe the membership functions. So a unique network model that captured fuzzy variables was created. The second main research contribution is that this is the first attempt of capturing service quality and …
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A holistic approach to assessment of value of information (VOI) with fuzzy data and decision criteria. [Thesis]
… the fuzziness of the data is captured through membership functions and the expected utility value of each financial parameter is estimated using the probability of the states conditioned to the membership functions - in the classical methodology, this is conditioned to crisp values of the data. …
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Synthesis of insightful algorithms
… contingencies. These combine probability density functions arising from the environmental observations and the sensors measurements, to membership functions representing the expectations of the system's models. This couples Probability Theory to Fuzzy Set Theory, and uses Zadeh's concept of the …
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Methodological Problems in Comparative and Cross -National Analysis: Applications of Fuzzy Set Theory
… three basic issues. First, I show how to scale membership functions, the primary quantities necessary for fuzzy set analysis. This has been a particular deficiency of fuzzy set theory. Second, I demonstrate how it can be used to aggregate multiple indicators so as to form indices for compound …
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Fuzzy inference systems for iris biometrics to reduce search time in large databases
… the subtractive clustering technique to create membership functions that helped us compare how each iris' texture features were clustered. By combining subtractive clustering with the adaptive neuro-fuzzy inference system, we were able to map each user to a singular value that identified with a …
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Priority-Based Resource Allocation Model for Vehicular Fog Computing
… thresholds are determined using the fuzzy membership functions for each vehicular attribute. Prioritization is arranged using a priority queue to identify and assign managed resources under requests and availability. Our proposed method enables fulfilling QoS standards by reducing the …
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Development and implementation of a methodology for fuzzy logic controller design
… The structure proposed combines three main functions and two support functions. The support functions are implementing novel fuzzy logic concepts developed and used in this work. These concepts represent the plant and the controller states during the operation time. The main functions …
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Kidney Compatibility Score Generation for a Donor - Recipient pair using Fuzzy Logic
… in this model in the form of rules. Fuzzy membership functions are designed to reflect the characteristics of input parameters. This model has been tested on several data sets. The pairs selected based on the kidney compatibility scores matched with the surgeon’s choice in most of the …
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Characterizations, solution techniques, and some applications of a class of semi-infinite and fuzzy set programming problems
… : S→R, i=1,...,n are strictly concave functions while u <sub> n+1</sub> : S→R is convex. Certain properties of the C/C semi-infinite linear programming problems give rise to efficient solution techniques. The solution techniques are given as well as examples of their use. Of significant …
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Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System
… (HVDC) by optimizing the key parameters i.e. membership functions (MFs) and fuzzy rule base in the controllers design. In the first part of the thesis, an adaptive Fuzzy PI controller is designed and the effect of various MF shapes, widths and distribution on the performance of a FL controlled …
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