Analysis of Weather Information System in Statistical and Rough Set Point of View

Autor:	Viet Long Nguyen, Khu Phi Nguyen
Rok vydání:	2015
Předmět:	Set (abstract data type) ComputerApplications_GENERAL Information system Probability distribution Statistical model Rough set Decision rule Data mining Weather satellite computer.software_genre Partition (database) computer Mathematics
Zdroj:	New Trends in Computational Collective Intelligence ISBN: 9783319107738 New Trends in Computational Collective Intelligence
DOI:	10.1007/978-3-319-10774-5_9
Popis:	Finding decision rules in weather prediction is an important issue besides using mathematical or statistical models and weather satellite data. It is dealt with this paper a method of analysing weather information system based on rough set reasoning and statistical method to support weather prediction. Firstly, some probability distributions of weather attributes will be verified and used for partition attribute value ranges using equal-probability percentiles. The solar terms in traditional East Asian point of view are used to determine types of decision weather attribute in the weather information system. Next, such an information system will be analyzed to produce a set of decision rules. After checking and verifying on collected weather dataset, it is shown that the method of analyzing is of significantly efficiency.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d7c7beb0c48573821c4386cc8c6b8549 https://doi.org/10.1007/978-3-319-10774-5_9 Zobrazit plný text záznamu