Results 81 to 90 of about 5,952,030 (154)
Conventional fuzzy or rough set models struggle to capture the ambiguity, hesitancy, and partial information that are frequently present in healthcare decision-making.
Shahida Bashir +7 more
doaj +1 more source
The medical diagnosis of many critical diseases is difficult as it usually requires the combined effort of several doctors. At this time, the process of medical diagnosis is actually a group decision-making (GDM) problem.
Huiping Chen, Yan Liu
doaj +1 more source
Properties of Supra Equivalent Subsets and Their Applications via Supra R0 Spaces
The extension of a topology by weakening its axioms is highly significant, as it generates new frameworks that preserve certain topological properties while allowing for the modeling of several practical problems. In this paper, we introduce the concept of supra equivalent subsets in the framework of a supra topological space and look at the main ...
Tareq M. Al-Shami +2 more
wiley +1 more source
On Intuitionistic Fuzzy Soft Groups
–In this paper, we give some basic properties ofintuitionistic fuzzy soft sets and (α, β)-level sets. Also we defineimage of an intuitionistic fuzzy soft set under a function, productof two intuitionistic fuzzy soft sets and obtain some results ...
Faruk Karaaslan +2 more
doaj
When making decisions using multiple criteria, known as “multicriteria decision‐making” (MCDM), it is essential to organize and address these challenges effectively. The Q‐Neutrosophic Hypersoft Set (Q‐NHSS) expands upon the Q‐Neutrosophic Soft Set (Q‐NSS) and integrates it with the Q‐Fuzzy set, a two‐dimensional information system.
Ayisha Saeed +5 more
wiley +1 more source
Fuzzy number Intuitionistic fuzzy soft sets and its properties
In this paper, we have defined the notion of the fuzzy number intuitionistic fuzzy soft sets. For it, different operations such as union, intersection, complement, max, min, AND and OR have been introduced on fuzzy number intuitionistic fuzzy soft sets environment. Some examples of these operations are given and a few properties are also studied.
Harish Garg +2 more
openaire +1 more source
Fuzzy relations are more advanced than crisp binary relations, which are applicable in control systems in artificial intelligence. Our research study develops a fuzzy spherical linear Diophantine fuzzy (SLDFu) relation as a more advanced tool to handle uncertainty in decision‐making.
Muhammad Zohaib +5 more
wiley +1 more source
Neutrosophic Soft Rough Graphs with Application
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram +3 more
doaj +1 more source
An Interval‐Valued Fermatean Neutrosophic Framework for Sustainable Transportation Under Uncertainty
Transportation planning is facing heightened complexity because the dynamic parameters influenced by globalization and unpredictable technological disruptions. Traditional models are not capable to handle interval‐based uncertainties related to supply, demand, and costs, especially as the scale of suppliers and customers expands.
Muhammad Kamran +4 more
wiley +1 more source
Intuitionistic Fuzzy Soft Hyper BCK Algebras
Maji et al. introduced the concept of fuzzy soft sets as a generalization of the standard soft sets, and presented an application of fuzzy soft sets in a decision-making problem. Maji et al. also introduced the notion of intuitionistic fuzzy soft sets in
Young Bae Jun +3 more
core +1 more source

