Rough set approach to knowledge-based decision support Page 1 ELSEVIER European
Joumal of Operational Research 99 (1997) 48-57 EUROPEAN JOURNAL OF …

Rough set theory has become well-established as a mechanism for uncertainty
management in a wide variety of applications including databases. This paper addresses …

Vagueness for a long time has been studied by philosophers, logicians and linguists.
Recently researchers interested in AI contributed essentially to this area. In this paper we …

Banyaknya data yang tersimpan dalam basis data maka penting bagi organisasi untuk
mengamankan data dalam basis data. Organisasi perlu memastikan keamanan dan …

This paper concerns the modeling of imprecision, vagueness, and uncertainty in databases
through an extension of the relational model of data: the fuzzy rough relational database, an …

Application of intelligent methods in industry become a very challenging issue nowadays
and will be of extreme importance in the future. Intelligent methods include fuzzy sets, neural …

Szczegóły rekordu – Rough set elements – Politechnika Warszawska Przejdź do menu
głównego Przejdź do głównej zawartości Baza wiedzy: Politechnika Warszawska …

Uncertainty management has been considered essential for real world applications, and
spatial data and geographic information systems in particular require some means for …

The paper discusses basic concepts of rough set theory. Starting point of the theory are data
tables which are used to define rudiments of the theory: approximations, dependency and …

Uncertainty management is necessary for real world applications, especially those used with
data mining. The Region Connection Calculus (RCC) and egg‐yolk methods have proven …