Results 111 to 120 of about 937 (208)
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
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
Incorporating £‐Complex Intuitionistic Fuzzy Set to Sylow Theorems in Group Theory
The complex intuitionistic fuzzy (CIF) set is an advanced version of the regular intuitionistic fuzzy set. It is made to better show the uncertainty and complexity that arise in real‐life problems. The grading and nongrading degrees in the CIF set are shown by complex‐valued functions that are defined on the unit disc of the complex plane.
Muhammad Jawad +5 more
wiley +1 more source
This paper advances the theory of bipolar Pythagorean neutrosophic fuzzy (BPNF) sets by establishing their formalization within a topological and metric framework, while also demonstrating their role in decision‐making under uncertainty. The main contributions are as follows: (1) definition and characterization of BPNF topological spaces, providing a ...
Akiladevi Natarajan +5 more
wiley +1 more source
The major point of proposed work is to study optimistic multi-granulation roughness of intuitionistic fuzzy ideals by using soft relations that is free from all the complications that challenged by many researchers.
Shahida Bashir +6 more
doaj +1 more source
Group Decision Making Through Interval Valued Intuitionistic Fuzzy Soft Sets [PDF]
This article describes how the lack of adequate parametrization in some of the earlier uncertainty based models like fuzzy sets, rough sets motivated Molodtsov to introduce a new model in soft set.
T. R. Sooraj +3 more
core +1 more source
Intuitionistic fuzzy relations: (Part I) [PDF]
This paper introduces the concept of intuitionistic fuzzy relation. We also study the choice of t-norms and t-conorms which must be done in order that the composition of intuitionistic fuzzy relations fulfils the largest number of properties.
Burillo López, Pedro +1 more
core +3 more sources
Intuitionistic fuzzy set (IFS), introduced by Atanassov, extends classical fuzzy sets (FSs) by incorporating both membership degree (MD) and non-membership degree (NMD), allowing for a more nuanced representation of uncertainty. N-bipolar soft set (NBSS)
Sagvan Y. Musa +3 more
doaj +1 more source
Entropy and similarity measures of q-rung orthopair fuzzy soft sets and their applications in decision making problems [PDF]
The q-rung orthopair fuzzy set can represent a wide range of uncertainty in information. When combined with a soft set, the resulting notion of a q-rung orthopair fuzzy soft set (OFSSq ) is more effective in dealing with uncertainties as it allows for ...
Aparna Sivadas, Sunil John
doaj +1 more source
The dynamics of consensus in group decision making: investigating the pairwise interactions between fuzzy preferences. [PDF]
In this paper we present an overview of the soft consensus model in group decision making and we investigate the dynamical patterns generated by the fundamental pairwise preference interactions on which the model is based.
Matteo Brunelli +3 more
core

