Results 11 to 20 of about 38,522 (294)

The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

ISPRS International Journal of Geo-Information, 2020
Generalization of geographic information enables cognition and understanding not only of objects and phenomena located in space but also the relations and processes between them.
Anna Fiedukowicz
doaj   +1 more source

The use of rough rules in the selection of topographic objects for generalizing geographical information

Polish Cartographical Review, 2020
Selection is a key element of the cartographic generalisation process, often being its first stage. On the other hand it is a component of other generalisation operators, such as simplification.
Fiedukowicz Anna
doaj   +1 more source

Roughness of soft sets and fuzzy sets in semigroups based on set-valued picture hesitant fuzzy relations

AIMS Mathematics, 2022
In the philosophy of rough set theory, the methodologies of rough soft sets and rough fuzzy sets have been being examined to be efficient mathematical tools to deal with unpredictability.
Rukchart Prasertpong
doaj   +1 more source

Rough set theory and its applications

Journal of Telecommunications and Information Technology, 2002
In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be illustrated by a simple tutorial example, concerning churn modeling in telecommunications.
Zdzisław Pawlak
doaj   +1 more source

Application of multi-valued rough neutrosophic set and matrix in multi-criteria decision-making

Mathematics in Applied Sciences and Engineering, 2023
Rough set concept is a methodology of information processing for relational databases. It is a unique uncertainty mathematics topic closely connected to fuzzy set theory.
Donbosco Jeni Seles Martina, Ganesan Deepa   +1 more
doaj   +1 more source

Topology in the Alternative Set Theory and Rough Sets via Fuzzy Type Theory

Mathematics, 2020
In this paper, we will visit Rough Set Theory and the Alternative Set Theory (AST) and elaborate a few selected concepts of them using the means of higher-order fuzzy logic (this is usually called Fuzzy Type Theory).
Vilém Novák
doaj   +1 more source

Sub-exact sequence of rough groups

Al-Jabar, 2021
Rough Set Theory (RST) is an essential mathematical tool to deal with imprecise, inconsistent, incomplete information and knowledge Rough Some algebra structures, such as groups, rings, and modules, have been presented on rough set theory.
Nevi Setyaningsih, Fitriani Fitriani, Ahmad Faisol   +2 more
doaj   +1 more source

Topological Properties of Generalized Rough Approximation Operators Based on Objects [PDF]

Jisuanji kexue, 2023
Rough set theory is a mathematical tool to deal with uncertain problems.The core notion of rough set theory is appro-ximation operators.Pawlak approximation operators based on equivalence relations cab be extended to generalized rough approximation ...
LI Yanyan, QIN Keyun
doaj   +1 more source

Oppositions in Rough Set Theory [PDF]

, 2012
The role of opposition in rough set theory is laid bare. There are two sources which generate oppositions in rough sets: approximations and relations. In the former case, we outline a hexagon and a cube of oppositions. In the second case, we define a classical square of oppositions and also a tetrahedron when considering the standpoint of two agents.
CIUCCI, DAVIDE ELIO, Dubois, D, Prade, H.   +2 more
openaire   +3 more sources

On Uncertainty Measure Issues in Rough Set Theory

IEEE Access, 2020
Rough set theory is a tool for dealing with uncertainty problems. How to measure the uncertainty of a knowledge is an important issue in the theory. However, the existing uncertainty measures may not accurately reflect the uncertainty degree.
Jianguo Tang, Jianghua Wang, Chunling Wu, Guojian Ou   +3 more
doaj   +1 more source