A Recent Study on the Rough Set Theory in Multi-Criteria Decision Analysis Problems

作者: Masurah Mohamad , Ali Selamat , Ondrej Krejcar , Kamil Kuca

DOI: 10.1007/978-3-319-24306-1_26

关键词:

摘要: Rough set theory (RST) is one of the data mining tools, which have many capabilities such as to minimize size an input and produce sets decision rules from a data. RST also great techniques used in dealing with ambiguity uncertainty datasets. It was introduced by Z. Pawlak 1997 until now, there are researchers who really make use its advantages either enhancement or apply various research areas analysis, pattern recognition, machine learning, intelligent systems, inductive reasoning, preprocessing, knowledge discovery, expert systems. This paper presents recent study on elementary concepts implementation multi-criteria analysis (MCDA) problems.

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