A HEDGE ALGEBRAS BASED REASONING METHOD FOR FUZZY RULE BASED CLASSIFIER

This paper answers that question by presenting a fuzzy rule based classifier design method based on hedge algebras with a pure hedge algebras classification reasoning method. The experimental results over 17 real world datasets are compared to the existing methods based on hedge algebras and fuzzy s[r]

1. Introduction
The modern hard disk drive (HDD) head positioning systems may be regarded as excellent example of mechatronics systems consisting of different components – subsystems: electrical (driving motors – actuators, flexible printed circuits, writing and reading heads etc.),[r]

Copyright q 2010 Choon Ki Ahn. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This paper proposes a new fuzzy adapti[r]

TRANG 16 Figure 1-4: Deep learning method for Human Action Recognition problem 1.2.2 DEEP LEARNING BASED METHODS On the other hand, a learning-based representation approach, specifically[r]

This paper presents a new PCA-based approach, called PCA-based utility theory (UT) approach, for optimization of multiple dynamic responses and compares its optimization performance with other existing PCA-based approaches. The results show that the proposed PCA-based UT method is superior to the ot[r]

Fuzzy AHP based decision support system for selecting ERP systems in textile industry by using balanced scorecard

Extension principle
Fuzzy relations – linguistic variable, linguistic value
Fuzzy ifthen rules – other aspect of fuzzy relations
Compositional rule of inference
Fuzzy reasoning
A general procedure for extending crisp domains of mathematical expressions to fuzzy domains.
Fuzzifying crisp functions[r]

Section 5.5). We have proved 13s.2 in Section 5.5, and it need not be proved again here. 13 is now redundant to 8 and the proof need not proceed further. We similarly prove 2b by applying symmetry assertion obtaining assertion 15, and then establish its redundancy to 8.
Notice that the proof in Fi[r]

The aim of this paper is to show how to choose the best clustering algorithms based on density-based clustering and present a new clustering algorithm for both crisp and fuzzy variables.

Very few of proposed approaches have explicitly addressed the problem of modeling spikes. Some authors have used data mining approach to model spikes uncertainty, their level and the associated confidence interval, while wavelet-neural cascade technique for normal level prices. Bayesian ex[r]

Recently Gaussian mixture model (GMM) has been suggested to learn or model a set has multiple mixing data through the maximum-likelihood (ML) estimator or the expectation- maximization (EM) algorithm. And, the validity has been demonstrated in many research fields (Hedelin & Skoglund, 2000), ([r]

The proposed multi-layer control scheme is mainly divided in five modules: 1) the upper module is responsible for planning the trajectory to be followed by the team of mobile manipulators; 2) the next module controls the formation, whose shape is determined by the distance and angle betwee[r]

measured, allowing in situ determination of soil characteristics at, or below, the soil surface at specific locations (Viscarra Rossel et al., 2011).
Alternatively, the crop itself can be viewed as a bioindicator of variable growing conditions. The most frequently used crop-related dat[r]

This paper presents methods of dividing quantitative attributes into fuzzy domains with multi-granularity representation of data based on hedge algebra approach. According to this approach, more information is expressed from general to specific knowledge by explored association rules.

measured, allowing in situ determination of soil characteristics at, or below, the soil surface at specific locations (Viscarra Rossel et al., 2011).
Alternatively, the crop itself can be viewed as a bioindicator of variable growing conditions. The most frequently used crop-related dat[r]

During last years, lots of the fuzzy rule based classifier (FRBC) design methods have been proposed to improve the classification accuracy and the interpretability of the proposed classification models. In view of that trend, genetic design methods of linguistic terms along with their (triangular an[r]

seen as a homogeneous type called numcept and all the processing modules between the various numcepts are seen as a homoge- neous type called operator. Concepts are extracted from the raw signal using networks of operators operating on numcepts. These
networks can be represented as d[r]

6.2. Evaluation of early and late fusion strategies
We have evaluated the use of visual and topic concepts and their combination for concepts detection in the conditions of the TRECVID 2005 evaluation. We show the 10 high-level concepts classification results evaluated with the trec eval to[r]

This study has proposed a new prediction model for Student Academic Performance Prediction based on the appoaching of fuzzy concept in association rule mining. The proposal model has two[r]

To improve the application of the multi-objective particle swarm optimization with fitness sharing MO-PSO for the FRBC design method proposed in [33], this paper represents an applicatio[r]