Fuzzy algorithms
Credit rating using fuzzy algorithms
... fuzzy algorithms. To achieve this goal, the usage of different types of fuzzy algorithms (evolutionary and non-evolutionary fuzzy rule learning for classification) is explored, depart- ...
10
Stochastic Fuzzy Algorithms for Impairment of Assets Management
... Stochastic fuzzy numbers have been introduced with a dual purpose: on one hand to estimate the cash flows generated by tangible assets exploitation and, on the other hand, to ensure the value ranges ...
21
Energy optimization of wireless sensor network using neuro-fuzzy algorithms
... on fuzzy logic and the main goal of clustering of WSN is to provide mapping between input and output with the help of fuzzy inference system ...using fuzzy logic ...The fuzzy logic controller ...
17
Implementation and Integration of Fuzzy Algorithms for Descending Stair of KMEI Humanoid Robot
... The 3D model of the humanoid robot is shown in Figure 1. The uniqueness of the KMEI humanoid robot is that the robot has a complex joint in the body. The purpose of the complex joint is to make a flexible movement ...
17
Fuzzy Clustering Algorithms
... apply fuzzy grouping algorithms, which allow an element to belong to more than one group by a degree of membership, in order to obtain relevant characteristics or recognize patterns of a set of ...main ...
14
Fuzzy Clustering Algorithms for cDNA Microarray Image Spots Segmentation
... six fuzzy algorithms FCM S1, FCM S2, EnFCM, FGFCM S1, FGFCM S2, FGFCM, and two well-known non-fuzzy algorithms, k-means and SLINK ...nine algorithms were compared with respect to the ...
8
Harmony search-based fuzzy clustering algorithms for image segmentation.
... clustering algorithms, which fall under unsupervised machine learning, are among the most successful methods for image ...clustering algorithms: initialization sensitivity of cluster centers and unknown ...
52
Fuzzy Reasoning Based Evolutionary Algorithms Applied to Data Mining
... use fuzzy rules to determine a threshold value in image ...signals. Fuzzy rule- based image processing techniques are applied to noise removal and edge ...of fuzzy clustering for solving image ...
122
Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications For Geographic Data Clustering
... some fuzzy clustering methods by the mean of more generalized fuzzy ...distributed fuzzy clustering method for big data using picture fuzzy sets; design a novel method called DPFCM to reduce ...
7
Image segmentation by fuzzy and possibilistic clustering algorithms for the identification of microcalcifications
... and fuzzy) clustering ...and fuzzy clustering algorithms, such as k-Means, Fuzzy c-Means and Possibilistic Fuzzy c-Means, in order to make a comparison of the advantages and drawbacks ...
10
Polynomial time algorithms for computing distances of Fuzzy Transition Systems
... Markov chains. A similar pseudometric was defined in [30] via the terminal coalgebra of a functor based on a metric on the space of Borel probability measures. [16] dealt with labelled concurrent Markov chains. [13] ...
14
Electromagnetism-like Algorithms for The Fuzzy Fixed Charge Transportation Problem
... Here, in order to find the optimal solution for the given problem, FFCTP, we attempt to use both efficient algorithms and efficient solution representation way. Some deficiencies of using Prüfer number ...
22
Integrating genetic algorithms and fuzzy c-means for anomaly detection
... Han, "A Fuzzy Data Mining Based Intrusion Detection System", Proc. 10" International Workshop on future Trends in[r] ...
5
New Algorithms for Solving Interval Valued Fuzzy Relational Equations
... valued fuzzy relational equations as a generalization of that of fuzzy relational ...on fuzzy relational ...V) fuzzy relational equation P·Q = R with max-min composition and max product ...
7
Performance Analysis of Fuzzy Competitive Learning Algorithms for MR Image Segmentation
... for fuzzy image segmentation is constantly increasing for medical diagnosis and ...prognosis. Fuzzy set theory provides a number of suitable properties for pattern recognition diagnostic system due to its ...
8
Fuzzy image segmentation combining ring and elliptic shaped clustering algorithms
... using fuzzy ring-shaped clustering (FKR) and elliptic ring-shaped clustering (FKE) already exists in the ...called fuzzy image segmentation combing ring and elliptic shaped clustering algorithms ...
6
The Cortisol Awakening Response for Using Fuzzy Time Series and Genetic Algorithms
... the fuzzy logical relationship groups as shown in Table 2, where the ith fuzzy logical relationship group contains fuzzy logical relationships whose current state is A i , where 1 ≤ i ...
8
Rough Fuzzy Classification on a Decision Table using a Threshold Algorithms and Implementations
... In this section, we propose an algorithm to compute an index using upper rough approximations. In this algorithm, a fuzzy input A is considered and using a single threshold. For each element, the upper index is ...
6
Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier
... and fuzzy neural networks. Apart from fuzzy neural networks, other models are subjected to inability of explaining the ...A fuzzy neural network such as adaptive neuro-fuzzy inference system ...
37
COMPARING EVOLUTIONARY ALGORITHMS ON TUNING THE PARAMETERS OF FUZZY WAVELET NEURAL NETWORK
... years Fuzzy Wavelet Neural Networks (FWNNs) have been used in many ...evolutionary algorithms including Genetic Algorithm (GA), Gravitational Search Algorithm (GSA), Evolutionary Strategy (ES), Fast ...
6