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- W214578476 abstract "Along with the disciplinary development of systems science and systems engineering, methods and modeling techniques established for systems evaluation, prediction, decision-making, and optimization are enriched constantly. Generally, each method and every model have their strengths and weaknesses so in practical applications, several different methods and modeling techniques are combined to form hybrid methods and/or techniques in order to successfully deal with the problems in hand. Here, the meaning of combination and mixture is to absorb the strengths and advantages of different methods so that they complement each other and the weaknesses of individual methods and modeling techniques are improved. That explains why in general such combined or mixed systems are more superior to each of the individual compoenent methods. Additionally, the avaiablbility of many different methods and modeling techniques also provides us with different ways to deal with information and systems. Therefore, how to combine and mix different methods and techniques has become a research direction with wide-ranging applicability in areas of data mining and knowledge discovery." @default.
- W214578476 created "2016-06-24" @default.
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- W214578476 date "2010-01-01" @default.
- W214578476 modified "2023-09-25" @default.
- W214578476 title "Combined Grey Models" @default.
- W214578476 doi "https://doi.org/10.1007/978-3-642-16158-2_6" @default.
- W214578476 hasPublicationYear "2010" @default.
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