Quantitative information architecture, granular computing and rough set models in the double-quantitative approximation space of precision and grade
Space and plane mathematical forms of PG-Approx-Space are constructed. Semantics construction and semantics granules of PG-Approx-Space are established. Granular quantitative semantics, complete systems, optimal calculation are studied. Model expansion and model construction in PG-Approx-Space are studied. A basic and general exploration framework of double-quantification is established.
quantitative information architecture granular computing rough set theory double quantification variable precision rough set graded rough set