Results 31 to 40 of about 58,797 (306)

Incremental Updating Algorithm for Approximation Sets on Semi-Monolayer Cover Rough Sets [PDF]

open access: yesJisuanji gongcheng, 2022
A one-to-one mapping relationship exists between the semi-monolayer cover rough sets and the set-valued information system.When an object set in a set-valued information system is dynamically added or removed, the information unit that corresponds to the
WU Zhengjiang, ZHANG Yaning, ZHANG Zhen, MEI Qiuyu, YANG Tian
doaj   +1 more source

Dealing with uncertain entities in ontology alignment using rough sets [PDF]

open access: yes, 2012
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Li, M   +3 more
core   +1 more source

(𝓘, 𝓣) −Standard neutrosophic rough set and its topologies properties [PDF]

open access: yesNeutrosophic Sets and Systems, 2016
In this paper, we defined (𝓘, 𝓣) − standard neutrosophic rough sets based on an implicator 𝓘 and a tnorm 𝓣 on 𝑫∗ ; lower and upper approximations of standard neutrosophic sets in a standard neutrosophic approximation are defined.
Nguyen Xuan Thao, Florentin Smarandache
doaj   +1 more source

Rough Neutrosophic Sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2014
Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information.
Said Broumi   +2 more
doaj  

The Structure of Multigranular Rough Sets [PDF]

open access: yesFundamenta Informaticae, 2020
We study multigranulation spaces of two equivalences. The lattice-theoretical properties of so-called “optimistic” and “pessimistic” multigranular approximation systems are given. We also consider the ordered sets of rough sets determined by these approximation pairs.
Jouni Järvinen, Sándor Radeleczki
openaire   +3 more sources

Multi-fuzzy Rough Sets based on Implicators and Continuous t-norms

open access: yesFuzzy Information and Engineering, 2017
This paper extends the study of multi-fuzzy rough sets using an implicator and a continuous t-norm and thus introduces multi-fuzzy rough sets based on fuzzy logical connectives.
Gayathri Varma, Sunil Jacob John
doaj   +1 more source

A roughness measure for fuzzy sets [PDF]

open access: yes, 2005
Recently, an attempt of integration between the theories of fuzzy sets and rough sets has resulted in providing a roughness measure for fuzzy sets (Banerjee and Pal, 1996).
Nakamori, Yoshiteru, Huynh, Van-Nam
core   +1 more source

Intuitionistic Fuzzy Soft Rough Set and Its Application in Decision Making

open access: yesAbstract and Applied Analysis, 2014
The soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. In this paper, we present concepts of soft rough intuitionistic fuzzy sets and intuitionistic fuzzy soft rough sets, and ...
Haidong Zhang, Lan Shu, Shilong Liao
doaj   +1 more source

Rough Neutrosophic Multisets [PDF]

open access: yesNeutrosophic Sets and Systems, 2017
Many past studies largely described the concept of neutrosophic sets, neutrosophic multisets, rough sets, and rough neutrosophic sets in many areas. However, no paper has discussed about rough neutrosophic multisets.
Suriana Alias   +2 more
doaj   +1 more source

Rough Forgetting

open access: yes, 2020
Recent work in the area of Knowledge Representation and Reasoning has focused on modification and optimization of knowledge bases (KB) through the use of forgetting operators of the form forget(KB, (R) over bar), where (R) over bar is a set of relations ...
Andrzej Szałas   +5 more
core   +1 more source

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