On the basis of rough set theory, this paper presents the single element medium- and long-term classification forecast model that uses historical data of a hydrologic series as forecast factors. The minimal rule set, i.e., forecast pattern set, is achieved according to the principle of maximal...

Purpose – The purpose of this paper is to develop a novel two-stage model for promoting the effect of rule generation based on rough set. In order to improve traditional rough set method, the novel two-stage model adopts new kernel intuitionistic fuzzy clustering (KIFCM) to promote performance...

La detección precoz de la insolvencia de una empresa interesa tanto para proteger al público en general como para minimizar los costes económicos y sociales asociados a este problema. Se han aplicado numerosos métodos estadísticos para afrontar este problema utilizando como variables...

Tradicionalmente, para abordar el problema de la detección precoz de la insolvencia empresarial, se han venido utilizando métodos estadísticos que emplean ratios financieros como variables explicativas. Sin embargo, aunque la eficacia de dichos métodos ha sido sobradamente probada, presentan...

Today there are hundreds of new incubators established. The figure is still rising drastically, especially for incubators focusing on technology development. This phenomenal trend acknowledges the importance of incubation policy as one of the means of job creation and accumulation of knowledge...

Decision trees are widely used in machine learning and artificial intelligence. In this paper, we extend previous research and present a new decision tree classification algorithm that uses a rough set theory to produce classification rules. Our algorithm is based on core attributes and on...

Price instruments are well known policy handles to influence effectively residential water demand. Prices used to be set by water authorities in such a way that the principle of cost coverage was respected; they acted as prominent instruments in residential water policies in the past decades. More...

Clustering is an important technique in data mining. Clustering a large data set is difficult and time consuming. An approach called data labelling has been suggested for clustering large databases using sampling technique to improve efficiency of clustering. A sampled data is selected randomly...

An integrated Rough Set approach is proposed and implemented to discover the historical operating rules of a Sicilian irrigation purpose reservoir. Operating rules are derived by expressing monthly releases from the reservoir as functions of stored volume, inflow and release during a 35-years...

This paper targets efforts to integrate rough set theory and the fuzzy inference technique into the multi-element medium and long-term hydrological forecast. Rough set theory is used to predigest the data and deal with the redundant inconsistent initial information table. Accordingly, the...