文章基本信息

标题：A NOVEL EARLY WARNING SYSTEM USING FUZZY MULTIPLE ATTRIBUTE DECISION MAKING ALGORITHM AND METEOROLOGICAL DATA
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作者：MUSLIKHIN ; FATCHUL ARIFIN ; PONCO WALIPRANOTO 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：16
出版社：Journal of Theoretical and Applied
摘要：An early warning system (EWS) has the possibility to predict data accurately in the limited positions of units using sensors and additional data input. But in reality it is not easy, requires a lot of system, cross platform and field of science. This applies tries to realize the EWS, so it is necessary to configure the addition of input data, where data from sensors and meteorological data is required to predict floods accurately. The purpose of this system is to make decisions and determine the flooding area. In order to achieve this goal, Decision Support System (DSS) techniques with primary and secondary data are applied. Primary and secondary data as input of Fuzzy Multiple Attribute Decision Making (FMADM) algorithm. The expectation is based on weight, normalized model to get optimal prediction result. The EWS equipped by sirens, short messages, websites, and also Android apps to provide monitoring and prediction information. The experiment was carried out using EWS hardware mounted on streams and the results indicated the good performance of the system with fulfill errors.
关键词：Flood area predicting; FMADM; DSS; meteorological data; early warning system.