Results 71 to 80 of about 13,344 (205)
Pythagorean hesitant fuzzy sets (PHFSs) effectively represent uncertain information in decision‐making by accommodating situations where the sum of membership and nonmembership degrees exceeds 1, provided their squared sum remains at most 1. This study proposes a novel distance measure for PHFSs and rigorously demonstrates its rationality and validity.
Lixia Zhang +3 more
wiley +1 more source
Multidimensional Topological Measure Spaces and Their Applications in Decision‐Making Problems
This paper presents a generalized framework termed the multidimensional topological measure space (MDTMS), developed through multidimensional fuzzy sets, multidimensional topology, and an associated distance measure. The suggested framework enhances traditional fuzzy models by facilitating a more nuanced representation and examination of intricate ...
Jomal Josen +3 more
wiley +1 more source
Intuitionistic Fuzzy Ideals in $(m,n)$-Near Rings [PDF]
In this article, first we review some basic definitions and results about fuzzy sets and intuitionistic fuzzy sets; then we state the definitions of intuitionistic fuzzy (m, n)-sub near rings and intuitionistic fuzzy ideals of (m, n)-near ...
Fahimeh Mohammadi, Bijan Davvaz
doaj +1 more source
Solving P - Norm Intuitionistic Fuzzy Programming Problem [PDF]
In this paper, notion of p - norm generalized trapezoidal intuitionistic fuzzy numbers is introduced. A new ranking method is introduced for p - norm generalized trapezoidal intuitionistic fuzzy numbers.
Aggarwal, Shashi, Gupta, Chavi
core
This paper addresses critical limitations in the application of intuitionistic fuzzy sets (IFSs) for complex decision‐making problems under uncertainty. While IFSs offer a robust framework for modeling imprecision through membership, nonmembership, and hesitancy degrees, existing methodologies often simplify the multiplication of intuitionistic fuzzy ...
Hanh-Thao Le +2 more
wiley +1 more source
A Cross‐Entropy‐Driven MABAC Method Under Interval‐Valued q‐Rung Orthopair Fuzzy Sets
Cross‐entropy is a useful tool for quantifying the divergence between systems. In this paper, we develop an interval‐valued q‐rung orthopair fuzzy cross‐entropy measure. Subsequently, the satisfaction‐based cross‐entropy (SCE) is derived from the compromise rule, integrating decision‐makers’ risk preferences to enhance rationality.
Benting Wan +6 more
wiley +1 more source
In this paper, utilizing the concept of neutrosophic metric spaces proposed by Kirisci and Simsek, we establish a fixed point theorem of Edelstein type within this framework. A numerical example is provided to illustrate the validity of the main result. Furthermore, we present an application to a general SIR‐type epidemic model.
Vishal Gupta +3 more
wiley +1 more source
A construction method of Atanassov’s intuitionistic fuzzy sets for image processing
In this work we introduce a new construction method of Atanassov\u27s intuitionistic fuzzy sets (A-IFSs) from fuzzy sets. We use A-IFSs in image processing. We propose a new image magnification algorithm using A-IFSs.
Beliakov, G. +4 more
core +1 more source
The utilization of fuzzy fractional partial differential equations has turned into a practical tool for modeling real‐life phenomena because they offer a compact framework for modeling complex phenomena with uncertainty, providing insights and reflecting on systems that classical models cannot adequately get.
Hamzeh Zureigat +4 more
wiley +1 more source
INTUITIONISTIC FUZZY STRONGLY α-GENERALIZED SEMI CLOSED SETS
In this paper, intuitionistic fuzzy strongly α-generalized semi closed sets and in- tuitionistic fuzzy strongly α-generalized open sets are introduced.
Annasamy Yuvarani +3 more
doaj

