A three-way decision based construction of shadowed sets from Atanassov intuitionistic fuzzy sets
By combining ideas from three-way decision and Pedrycz shadowed sets, this paper
investigates two possible solutions to the problem of constructing a shadowed set from an …
investigates two possible solutions to the problem of constructing a shadowed set from an …
A three-way classification with fuzzy decision trees
X Han, X Zhu, W Pedrycz, Z Li - Applied Soft Computing, 2023 - Elsevier
This study is concerned with the design of a three-way classification mechanism realized
through combing fuzzy decision trees and expressing uncertainty associated with …
through combing fuzzy decision trees and expressing uncertainty associated with …
Granular rough sets and granular shadowed sets: Three-way approximations in Pawlak approximation spaces
A Pawlak approximation space is a pair of a ground set/space and a quotient set/space of
the ground set induced by an equivalence relation on the ground set. The quotient space is …
the ground set induced by an equivalence relation on the ground set. The quotient space is …
Constructing shadowed sets and three-way approximations of fuzzy sets
Shadowed sets, proposed by Pedrycz, are an example of three-way approximations of fuzzy
sets. A fuzzy set is approximated by elevating membership grades at or above one threshold …
sets. A fuzzy set is approximated by elevating membership grades at or above one threshold …
Game theoretic approach to shadowed sets: a three-way tradeoff perspective
Three-way approximations can be constructed by shadowed sets based on a pair of
thresholds. The determination and interpretation of the thresholds is one of the key issues for …
thresholds. The determination and interpretation of the thresholds is one of the key issues for …
Multigranulation rough-fuzzy clustering based on shadowed sets
In this study, a new technique of rough-fuzzy clustering based on multigranulation
approximation regions is developed to tackle the uncertainty associated with the fuzzifier …
approximation regions is developed to tackle the uncertainty associated with the fuzzifier …
Data description: A general framework of information granules
The study is concerned with a granular data description in which we propose a
characterization of numeric data by a collection of information granules so that the key …
characterization of numeric data by a collection of information granules so that the key …
Fuzzy rating scale-based questionnaires and their statistical analysis
SR de Sáa, MÁ Gil… - … on Fuzzy Systems, 2014 - ieeexplore.ieee.org
The fuzzy rating method has been introduced in psychometric studies as a tool, which allows
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …
the capture of and accurate reflection of the diversity, subjectivity, and imprecision inherent …
Shadowed neighborhoods based on fuzzy rough transformation for three-way classification
Neighborhoods form a set-level approximation of data distribution for learning tasks. Due to
the advantages of data generalization and nonparametric property, neighborhood models …
the advantages of data generalization and nonparametric property, neighborhood models …
A general model of decision-theoretic three-way approximations of fuzzy sets based on a heuristic algorithm
Q Zhang, D Xia, K Liu, G Wang - Information Sciences, 2020 - Elsevier
A model of decision-theoretic three-way approximations of fuzzy sets that can calculate a
pair of interpretable thresholds (α, β) by combining shadowed sets with three-way decisions …
pair of interpretable thresholds (α, β) by combining shadowed sets with three-way decisions …