Results 31 to 40 of about 39,193 (212)

On Topological Properties of IF Approximation Spaces

Fuzzy Information and Engineering, 2015
Rough approximation operators in approximation spaces are the core concept of rough set theory, which draw close links between rough set theory and topology.
Ning-Xin Xie
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Roughness in Membership Continuous Function

مجلة المختار للعلوم, 2021
In this paper, we introduce the new definition of rough membership function using continuous function and we discuss several concepts and properties of rough continuous set value functions as new results on rough continuous function and membership ...
Faraj.A. Abdunani, Ahmed.A. Shletiet
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Two kinds of average approximation accuracy

CAAI Transactions on Intelligence Technology
Rough set theory places great importance on approximation accuracy, which is used to gauge how well a rough set model describes a target concept. However, traditional approximation accuracy has limitations since it varies with changes in the target ...
Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang   +3 more
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Slime Mould Games Based on Rough Set Theory

International Journal of Applied Mathematics and Computer Science, 2018
We define games on the medium of plasmodia of slime mould, unicellular organisms that look like giant amoebae. The plasmodia try to occupy all the food pieces they can detect. Thus, two different plasmodia can compete with each other.
Pancerz Krzysztof, Schumann Andrew
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Decision-Making Approach Based on Neutrosophic Rough Information

Algorithms, 2018
Rough set theory and neutrosophic set theory are mathematical models to deal with incomplete and vague information. These two theories can be combined into a framework for modeling and processing incomplete information in information systems.
Muhammad Akram, Nabeela Ishfaq, Sidra Sayed, Florentin Smarandache   +3 more
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Multigranulations Rough Set Method of Attribute Reduction in Information Systems Based on Evidence Theory

Journal of Applied Mathematics, 2014
Attribute reduction is one of the most important problems in rough set theory. However, from the granular computing point of view, the classical rough set theory is based on a single granulation.
Minlun Yan
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Rough action on topological rough groups

Applied General Topology, 2020
In this paper we explore the interrelations between rough set theory and group theory. To this end, we first define a topological rough group homomorphism and its kernel.
Alaa Altassan, Nof Alharbi, Hassen Aydi, Cenap Özel   +3 more
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Relative Reduction of Neighborhood-Covering Pessimistic Multigranulation Rough Set Based on Evidence Theory

Information, 2019
Relative reduction of multiple neighborhood-covering with multigranulation rough set has been one of the hot research topics in knowledge reduction theory.
Xiaoying You, Jinjin Li, Hongkun Wang
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THE IMPLEMENTATION OF A ROUGH SET OF PROJECTIVE MODULE

Barekeng, 2023
In ring and module theory, one concept is the projective module. A module is said to be projective if it is a direct sum of independent modules. (U, R)  is an approximation space with non-empty set  and equivalence relation   If X subset U, we can form
Gusti Ayu Dwiyanti, Fitriani Fitriani, Ahmad Faisol   +2 more
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Rough Set Theory Applied To Hyper BCK-Algebra

Ratio Mathematica, 2014
The aim of this paper is to introduce the notions of lower and upper approximation of a subset of a hyper BCK-algebra with respect to a hyper BCK-ideal. We give the notion of rough hyper subalgebra and rough hyper BCK-ideal, too, and we investigate their
R. Ameri, R. Moradian, R. A. Borzooei
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