Results 21 to 30 of about 1,436 (172)

The n-Pythagorean Fuzzy Sets [PDF]

Symmetry, 2020
The following paper presents deductive theories of n-Pythagorean fuzzy sets (n-PFS). N-PFS objects are a generalization of the intuitionistic fuzzy sets (IFSs) and the Yager Pythagorean fuzzy sets (PFSs). Until now, the values of membership and non-membership functions have been described on a one-to-one scale and a quadratic function scale. There is a
openaire   +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

Pythagorean Neutrosophic Dombi Fuzzy Graphs with an Application to MCDM [PDF]

Neutrosophic Sets and Systems, 2021
Pythagorean Neutrosophic fuzzy graph, an extension of Pythagorean and Neutrosophic graph, is more efficient in representing relationship between various objects where the relation between the objects is uncertain, while the Dombi operators with adaptable
P. Chellamani, D. Ajay
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, Muhammad Irfan Ali, Tahir Mahmood   +2 more
doaj   +1 more source

Pythagorean m-polar Fuzzy Neutrosophic Topology with Applications [PDF]

Neutrosophic Sets and Systems, 2022
The overarching structures like intuitionistic fuzzy sets, Pythagorean fuzzy sets, m-polar fuzzy sets, and neutrosophic fuzzy sets etc. have their own inadequacies and impediments.
Atiqa Siraj, Tehreem Fatima, Deeba Afzal, Khalid Naeem, Faruk Karaaslan   +4 more
doaj   +1 more source

Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators

Mathematics, 2020
In fuzzy set theory, t-norms and t-conorms are fundamental binary operators. Yager proposed respective parametric families of both t-norms and t-conorms. In this paper, we apply these operators for the analysis of Pythagorean fuzzy sets. For this purpose,
Gulfam Shahzadi, Muhammad Akram, Ahmad N. Al-Kenani   +2 more
doaj   +1 more source

Energy of Pythagorean Fuzzy Graphs with Applications [PDF]

Mathematics, 2018
Pythagorean fuzzy sets (PFSs), an extension of intuitionistic fuzzy sets (IFSs), inherit the duality property of IFSs and have a more powerful ability than IFSs to model the obscurity in practical decision-making problems. In this research study, we compute the energy and Laplacian energy of Pythagorean fuzzy graphs (PFGs) and Pythagorean fuzzy ...
Muhammad Akram, Sumera Naz
openaire   +3 more sources

Research on Evaluation of Sustainable Development of New Urbanization from the Perspective of Urban Agglomeration under the Pythagorean Fuzzy Sets

Discrete Dynamics in Nature and Society, 2021
In this study, considering the traditional geometric operation laws and Pythagorean fuzzy information, we propose a variety of new distance measures of Pythagorean fuzzy sets such as generalized Pythagorean fuzzy geometric distance (GPFGD) measures and ...
Lingyan Meng, Xiaoyan Wei
doaj   +1 more source

Some t-conorm-based distance measures and knowledge measures for Pythagorean fuzzy sets with their application in decision-making

Complex & Intelligent Systems, 2022
The Pythagorean fuzzy sets are more robust than fuzzy sets and intuitionistic fuzzy sets in dealing with the problems involving uncertainty. To compare two Pythagorean fuzzy sets, distance measures play a crucial role.
Abdul Haseeb Ganie
doaj   +1 more source

Decomposition of a Pythagorean fuzzy topological space and its application in determining topological relations between indeterminate spatial objects [PDF]

Journal of Fuzzy Extension and Applications
The fuzzy set generally identifies the topological relationship between two vague spatial objects. Indeterminacy can arise at any point in the modelling process, and the fuzzy model is unable to deal with this.
Subhankar Jana, Anjali Patel, Juthika Mahanta   +2 more
doaj   +1 more source