Results 11 to 20 of about 185,811 (251)
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 +2 more sources
Granular Space Reduction to a β Multigranulation Fuzzy Rough Set [PDF]
Abstract and Applied Analysis, 2014 Multigranulation rough set is an extension of classical rough set, and optimistic multigranulation and pessimistic multigranulation are two special cases of it. β multigranulation rough set is a more generalized multigranulation rough set. In this paper,
Junyi Zhou, Shaohui Ma, Jianzhen Li
doaj +2 more sources
Three-Way Decisions Making Using Covering Based Fractional Orthotriple Fuzzy Rough Set Model
Mathematics, 2020 On the basis of decision-theoretical rough sets (DTRSs), the three-way decisions give new model of decision approach for deal with the problem of decision. This proposed model of decision method is based on the loss function of DTRSs.
S. Abosuliman +2 more
semanticscholar +2 more sources
Fuzzy Rough Sets versus Rough Fuzzy Sets [PDF]
, 1998 Reihe Computational Intelligence ...
Thiele, Helmut
openaire +3 more sources
IEEE Access, 2023 The dominance-based rough set approach is crucial to the advancement of rough set theory. It gives a more thorough and adaptable framework for knowledge acquisition, information analysis, and DM.
Iftikhar Ul Haq +4 more
doaj +1 more source
Fuzzy rough sets based on fuzzy quantification
Fuzzy Sets and Systems, 2023 One of the weaknesses of classical (fuzzy) rough sets is their sensitivity to noise, which is particularly undesirable for machine learning applications. One approach to solve this issue is by making use of fuzzy quantifiers, as done by the vaguely quantified fuzzy rough set (VQFRS) model. While this idea is intuitive, the VQFRS model suffers from both
Adnan Theerens, Chris Cornelis
openaire +3 more sources
IEEE Access, 2023 Since three way decision making is a better tool in order to deal with uncertain decision making problem. Therefore, in this paper a three way decision making approach is presented under q-rung orthopair fuzzy rough set environment.
Saifullah Khan +4 more
doaj +1 more source
Pythagorean fuzzy soft rough sets and their applications in decision-making
Journal of Taibah University for Science, 2020 This paper aims to originate two new notions that are soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set, and investigate some important properties of soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set in detail ...
Azmat Hussain +2 more
doaj +1 more source
Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
doaj +1 more source
Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems
IEEE Access, 2020 By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set.
Chen Yan, Haidong Zhang
doaj +1 more source