A classification method, which comprises Fuzzy C-Means method, a modified form of the Huangindex function and Variable Precision Rough Set (VPRS) theory, is proposed for classifying labeled/ unlabeled data sets in this study. This proposed method, designated as the MVPRS-index method, is used to partition the values of per conditional attribute within the data set and to achieve both the optima...

What do we (not) know about the association between diabetes and survival time? Our studyoffers an alternativemathematical frameworkbasedon rough sets to analyzemedical data and provide epidemiology survival analysis with risk factor diabetes. We experiment on three data sets: geriatric, melanoma and Primary Biliary Cirrhosis. A case study reports from 8547 geriatric Canadian patients at the Da...

In th last few years, there has been a large upswing in research activities aimed at s nthesizing artificial neural networks with other well-establisied paradigms, like evolutionary computation, fuzzy logic, rough sets and chaos. In this paper, we briefly discuss the merits of these paradigms from artificial neural networks point of view, and we illustrate haw these paradigms can be fused with ...

Granular neural networks(GNNs) as a new calculation system structure based on Granular Computing(GrC) and artificial neural network can be able to deal with all kinds of granular information of the real world. This article has made the summary on the development and the present situation of GNNs. Firstly, it introduces the basic model of GrC: word calculation model based on fuzzy sets theory, r...

In a complex field environment for modern mechanical equipment, how to identify all kinds of operational status of the rolling element bearings fastly and accurately is very important and necessary. A novel approach to automated diagnosis is introduced, which is based on feature extraction with the Dual-Tree Complex Wavelet Transform (DT-CWT), then attribute reduction with rough set theory and ...

Aimed at overcoming subjectivity and improving the accuracy of traditional production performance evaluation methods for manufacturing enterprises, a new model of performance evaluation was proposed based on rough sets and a wavelet neural network (RS WNN). Firstly, an evaluation index system considering innovation performance was constructed. Secondly, a theory of rough sets and fuzzy mathemat...

Granular neural networks(GNNs) as a new calculation system structure based on Granular Computing(GrC) and artificial neural network can be able to deal with all kinds of granular information of the real world. This article has made the summary on the development and the present situation of GNNs. Firstly, it introduces the basic model of GrC: word calculation model based on fuzzy sets theory, r...

Multiagent technologies enable us to explore their sociological and psychological foundations. A medical diagnostic support system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagents learning method i...

Image retrieval system is developing driven by the explosive growing of multimedia data. However the oneshot result can’t fit the human perception perfection. Relevance feedback is utilized to improve the retrieval performance. In this paper, a new relevance feedback algorithm-ARFRS is proposed. This algorithm is composed of two parts: pre-processing part and classification part. The pre-proces...

information on nitrate in groundwater resources requires periodic measurements are accurate. despite the measure in some areas due to sensitive social and health community are not reported. therefore, be informed of the status of each area of water quality, modeling is essential. the purpose of this study was the application of artificial neural network method for estimating nitrate and compare...