the term business intelligence (bi) can refer to various computerized methods and processes of turning data into information and then into knowledge, which is eventually used to enhance organizational decision making. in the last decade, business intelligence has evolved as one of the critical applications in organizations to provide useful insight, support decision-making, and drive organizati...

Concrete with gangue which made with ordinary Portland cement at different water binder ratio (0.35, 0.40 and 0.45) or ordinary Portland cement at water binder ratio of 0.35 incorporating 10% fly ash or 20% fly ash; 20% fly ash and 1% early strength agent, slag with the replacement of 15% or 30%, or 15% fly ash and 15% slag were made and exposed to a wetting–drying sulfate environment. The comp...

in particular, by identifying clusters of individuals, households, organizations, cities, countries and nationalities with similar behavioural patterns, it can assist in the crafting of more effective interventions and incentives targeted to specific energy cultures. it also helps energy supply companies understand different behavioural clusters among their customers, so as to better tailor the...

Current grey clustering analysis methods have some defects. So, this paper proposes a prediction model based on improved grey clustering analysis. Firstly, it constructs the grey classical domain and the grey sector domain based on prediction subjects and data and according to relevant theory about grey clustering analysis. Secondly, it categorizes samples according to features of prediction su...

One of the main concepts in grey system theory is how systems should be controlled under incomplete or lack of information situation. Grey number denoting an uncertain value is described in real interval from this concept. In this paper, we introduce the real formal concept analysis based on grey-rough set theory by using grey numbers, instead of binary values. We propose, to extend the notion ...

This paper presents a better prediction model by the integration of neural network technique and grey theory for the stock index. In this paper, the grey theory applied include grey forecast model and grey relationship analysis. A GM(l, l) grey forecast model was applied to predict the next day’s stock index. Grey relationship analysis was used to filter the most important quantitative technica...

Grey theory was proposed by Prof. Deng [1] for more than 30 years. It has been successfully applied in many academic fields, such as electrical engineering, education, mechanical engineering, agriculture, high-tech sectors and so on [2-8]. Grey theory is famous for easy calculation and satisfactory result. Comparing to other methods, grey theory need only as few as four data could be modeled to...