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- W2904762016 abstract "As an extension of classical rough sets, the concept of λ-rough sets is introduced in information systems. We put forward the notions of λ-indiscernibility relation and λ-approximation space in information systems. The properties of roughness for λ-approximation space are explored. To illustrate the usefulness of λ-approximation spaces, we provide two approaches to deal with a special type of multiattribute decision-making problems. By comparative analysis, the ranking results based on two different approaches have a high consensus. Although there are some different ranking results of these two methods, the optimal selected alternative is the same." @default.
- W2904762016 created "2018-12-22" @default.
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- W2904762016 date "2019-02-01" @default.
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- W2904762016 title "A <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline overflow=scroll id=d1e7418 altimg=si618.gif><mml:mi>λ</mml:mi></mml:math>-rough set model and its applications with TOPSIS method to decision making" @default.
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- W2904762016 doi "https://doi.org/10.1016/j.knosys.2018.12.013" @default.
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