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A generalized decision logic in interval-set-valued information tables. (English) Zbl 0948.03029
Zhong, Ning (ed.) et al., New directions in rough sets, data mining, and granular-soft computing. 7th international workshop, RSFDGrC ’99, Yamaguchi, Japan, November 9-11, 1999. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 1711, 285-293 (1999).
Summary: A generalized decision logic in interval-set-valued information tables is introduced, which is an extension of decision logic studied by Pawlak. Each object in an interval-set-valued information table takes an interval set of values. Consequently, two types of satisfiabilities of a formula are introduced. Truth values of formulas are defined to be interval-valued, instead of single-valued. A semantics model of the proposed logic language is studied.
For the entire collection see [Zbl 0929.00075].

MSC:
03B70 Logic in computer science
68T27 Logic in artificial intelligence
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