Three-way conflict analysis: a unification of models based on rough sets and formal concept analysis
The Pawlak model of conflict analysis uses three-valued ratings (ie, positive, neutral, and
negative) of a set of agents on a set of issues. Several extensions to the Pawlak model …
negative) of a set of agents on a set of issues. Several extensions to the Pawlak model …
Modeling relationships in three-way conflict analysis with subsethood measures
M Hu - Knowledge-Based Systems, 2023 - Elsevier
The relations on agents and issues are essential topics in three-way conflict analysis. While
there is a general agreement on the formulation and understanding of relations regarding …
there is a general agreement on the formulation and understanding of relations regarding …
Three-way decision on information tables
X Li, X Wang, B Sun, Y She, L Zhao - Information Sciences, 2021 - Elsevier
The model of three-way decision on two universes generalizes various two-universe models
of rough sets, and it is in fact defined on 0–1 tables, ie binary information tables. This paper …
of rough sets, and it is in fact defined on 0–1 tables, ie binary information tables. This paper …
[HTML][HTML] Measures of embedding for interval-valued fuzzy sets
Interval-valued fuzzy sets are a generalization of classical fuzzy sets where the membership
values are intervals. The epistemic interpretation of interval-valued fuzzy sets assumes that …
values are intervals. The epistemic interpretation of interval-valued fuzzy sets assumes that …
A trilevel analysis of uncertainty measuresin partition-based granular computing
B Wang, J Liang, Y Yao - Artificial Intelligence Review, 2023 - Springer
Uncertainty measure is one of the most significant concepts and fundamental issues in
granular computing. Nowadays, there have been extensive studies on various uncertainty …
granular computing. Nowadays, there have been extensive studies on various uncertainty …
[HTML][HTML] Three-way decision with incomplete information based on similarity and satisfiability
Three-way decision is widely applied with rough set theory to learn classification or decision
rules. The approaches dealing with complete information are well established in the …
rules. The approaches dealing with complete information are well established in the …
A bipolar three-way decision model and its application in analyzing incomplete data
The theory of three-way decision has contributed to data science in many topics, such as
three-way classification, three-way clustering, and three-way feature selection. Most three …
three-way classification, three-way clustering, and three-way feature selection. Most three …
Three-way decision on two universes
X Li, Q Sun, H Chen, H Yi - Information Sciences, 2020 - Elsevier
Rough set models on two universes are important generalizations of Pawlak's classical
model. In most of the two-universe models, the upper and lower approximations are …
model. In most of the two-universe models, the upper and lower approximations are …
Two general construction ways toward unified framework of ordinal sums of fuzzy implications
H Zhou - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
The present article proposes two construction ways to study the general forms of ordinal
sums of fuzzy implications with the intent of unifying the ordinal sums existing in the …
sums of fuzzy implications with the intent of unifying the ordinal sums existing in the …
An extension framework for creating operators and functions for intuitionistic fuzzy sets
SC Ngan - Information Sciences, 2024 - Elsevier
Intuitionistic fuzzy sets, introduced by Atanassov in the mid-1980′ s, represent a key
extension of Zadeh's fuzzy sets. Zadeh's extension principle, a fundamental concept in fuzzy …
extension of Zadeh's fuzzy sets. Zadeh's extension principle, a fundamental concept in fuzzy …