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Advances in Soft Computing

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The article was published on 1999-01-01. It has received 524 citations till now. The article focuses on the topics: Soft computing.

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Rudiments of rough sets

TL;DR: The basic concepts of rough set theory are presented and some rough set-based research directions and applications are pointed out, indicating that the rough set approach is fundamentally important in artificial intelligence and cognitive sciences.
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Rough sets: Some extensions

TL;DR: Some extensions of the rough set approach are presented and a challenge for the roughSet based research is outlined and it is outlined that the current rough set based research paradigms are unsustainable.
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Soft set theory and uni–int decision making

TL;DR: An uni-int decision making method which selects a set of optimum elements from the alternatives is constructed which shows that the method can be successfully applied to many problems that contain uncertainties.
Journal ArticleDOI

Review: Situation identification techniques in pervasive computing: A review

TL;DR: A comprehensive analysis of the nature and characteristics of situations is provided, the complexities of situation identification are discussed, and the techniques that are most popularly used in modelling and inferring situations from sensor data are reviewed.
Journal ArticleDOI

Soft matrix theory and its decision making

TL;DR: This work defines soft matrices and their operations which are more functional to make theoretical studies in the soft set theory and constructs a soft max-min decision making method which can be successfully applied to the problems that contain uncertainties.