An approach to MCGDM based on multi-granulation Pythagorean fuzzy rough set over two universes and its application to medical decision problem
B Sun, S Tong, W Ma, T Wang, C Jiang - Artificial Intelligence Review, 2022 - Springer
Exploring efficiency approaches to solve the problems of decision making under uncertainty
is a mainstream direction. This article explores the rough approximation of the uncertainty …
is a mainstream direction. This article explores the rough approximation of the uncertainty …
Attribute reductions of quantitative dominance-based neighborhood rough sets with A-stochastic transitivity of fuzzy preference relations
Attribute reductions based on approximate operations have never been proposed in
quantitative dominance-based neighborhood rough sets. In this paper, we mainly discuss …
quantitative dominance-based neighborhood rough sets. In this paper, we mainly discuss …
Integrating rough sets and multidimensional fuzzy sets for approximation techniques: A novel approach
This research introduces innovative rough approximation techniques for multidimensional
fuzzy sets by integrating rough sets and multidimensional fuzzy sets. Departing from …
fuzzy sets by integrating rough sets and multidimensional fuzzy sets. Departing from …
Multigranulation modified rough bipolar soft sets and their applications in decision-making
The classical theory of rough sets (RSs) established by Pawlak, mainly focused on the
approximation of sets characterized by a single equivalence relation (ER) over the universe …
approximation of sets characterized by a single equivalence relation (ER) over the universe …
A study on soft multi-granulation rough sets and their applications
Rough set (RS) and soft set (SS) theories are two successful mathematical approaches to
dealing with uncertainty in data analysis. The classical soft rough set (SRS) theory proposed …
dealing with uncertainty in data analysis. The classical soft rough set (SRS) theory proposed …
A novel approach toward roughness of bipolar soft sets and their applications in MCGDM
The uncertainty in the data is an obstacle in decision-making (DM) problems. In order to
solve problems with a variety of uncertainties a number of useful mathematical approaches …
solve problems with a variety of uncertainties a number of useful mathematical approaches …
N-soft rough sets and its applications
D Zhang, PY Li, S An - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
In this paper, we propose a new hybrid model called N-soft rough sets, which can be seen
as a combination of rough sets and N-soft sets. Moreover, approximation operators and …
as a combination of rough sets and N-soft sets. Moreover, approximation operators and …
Multigranulation roughness based on soft relations
The original rough set model, developed by Pawlak depends on a single equivalence
relation. Qian et al, extended this model and defined multigranulation rough sets by using …
relation. Qian et al, extended this model and defined multigranulation rough sets by using …
Pessimistic multigranulation roughness of a fuzzy set based on soft binary relations over dual universes and its application
J Din, M Shabir, Y Wang - Mathematics, 2022 - mdpi.com
The rough set model for dual universes and multi granulation over dual universes is an
interesting generalization of the Pawlak rough set model. In this paper, we present a …
interesting generalization of the Pawlak rough set model. In this paper, we present a …
A comprehensive study of upward fuzzy preference relation based fuzzy rough set models: Properties and applications in treatment of coronavirus disease
In this paper, we first introduce a new type of rough sets called α‐upward fuzzified
preference rodownward fuzzy preferenceugh sets using upward fuzy preference relation …
preference rodownward fuzzy preferenceugh sets using upward fuzy preference relation …