Power transformer is one of the most important equipments in the electric system. Dissolved Gases Analysis is an important method in the diagnosis of internal fault of transformers. Because the signs and types of fault have complicated nonlinear relations, the traditional methods cannot exactly meet the requirements of engineer application. This paper proposes synthesis of relational grey incid...

This paper presents the development of a model based decision support system with a case study on solving the supplier selection problem in a chemical processing industry. For the evaluation and selection of supplier, the analytical hierarchy process (AHP) and grey relational analysis (GRA) were used. The intention of the study is to propose an appropriate platform for process industries in ...

The inherent uncertainty of the software development process presents particular challenges for software effort prediction. We need to systematically address missing data values, outlier detection, feature subset selection and the continuous evolution of predictions as the project unfolds, and all of this in the context of data-starvation and noisy data. However, in this paper, we particularly ...

In order to improve the utilization of the residential electricity consumption data which contains the information on the user’s electricity consumption habits, a residential electricity consumption behaviors mining algorithm model is constructed. Firstly, according to the attribute, the collected data can be divided into the global data and the phase data, then the appropriate global variables...

In the computer-aided medical diagnosis, the problem of missing attribute values in many medical data sets brings a great challenge to data mining. To solve the problem, this paper proposes a method based on density clustering and grey relational analysis. It provides an effective solution for missing medical data. The method uses the characteristic and degree of data samples dynamic relation a...

In general, there are two fundamental issues in content-based image retrieval (CBIR): content representation and similarity matching. Once the set of feature vector representing the content of images is determined, the question of how to combine the individual similarities according to each term of the vector to form a global similarity must be addressed. In this paper, the low frequency DCT co...

Recently, grey relational analysis (GRA) has been widely applied in analyzing multivariate time series data (MTS); as a solution to the traditional statistical limitations. GRA, which has been proven to be simple and accurate method for analysing relationship in MTS are broadly used in various disciplines such as economics, sociology and engineering. GRA is employed to search for grey relationa...

In business, industry and government agencies, anticipating future behavior that involves many critical variables for nation wealth creation is vitally important, thus the necessity to make precise decision by the policy makers is really essential. Consequently, an accurate and reliable forecast system is needed to compose such predictions. Accordingly, the aim of this research is to develop a ...

The paper proposes a multi-attribute decision making method based on extended grey relation analysis under interval neutrosophic environment. The interval neutrosophic set is an important decision making apparatus that can handle imprecise, indeterminate, inconsistence information. The rating of the alternatives with respect to certain attribute considered by the expert is characterized by ling...

Predicting crime types by using classification algorithms can help to find factors affecting crimes and prevent crimes. Due to various reasons in the process of data collection, there are often a large number of missing values in actual criminal dataset, which seriously affects the classification accuracy. Therefore, based on mutual KNNI (K nearest neighbor imputation) algorithm and combined wi...