Results 71 to 80 of about 1,692 (213)
A Decision‐Making Problem for Smartphone Selection Using Neutrosophic Distance Measures
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived for the complement of the proposed distance measure.
M. Arockia Dasan +5 more
wiley +1 more source
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.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
A new view on the relationships between interval valured and intuitionistic fuzzy sets
, 2016 Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016) Roubaix, France, 24 – 26 August 2016This paper proposes a novel approach to analyze the relationship between interval valued fuzzy sets (IVFS) and Atanassov’s ...
Franco De Los Ríos, Camilo A. +3 more
core +1 more source
Semiring-Valued Fuzzy Sets and F-Transform
, 2021 The notion of a semiring-valued fuzzy set is introduced for special commutative partially pre-ordered semirings, including basic operations with these fuzzy structures. It is showed that many standard MV-algebra-valued fuzzy type structures with standard
Jiří Močkoř
core +1 more source
Multidimensional Topological Measure Spaces and Their Applications in Decision‐Making Problems
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.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
, 2023 Fuzzy sets introduced to overthrow the uncertainty of an object. Interval valued intuitionistic fuzzy sets in topological structure space is an extension of fuzzy sets.
S. Parthiban +7 more
core +1 more source
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.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 new decision making method using interval-valued intuitionistic fuzzy cosine similarity measure based on the weighted reduced Intuitionistic fuzzy sets [PDF]
, 2020 In this paper, we develop a new flexible method for interval-valued intuitionistic fuzzy decision-making problems with cosine similarity measure. We first introduce the interval-valued intuitionistic fuzzy cosine similarity measure based on the notion of
Merigo, JM +3 more
core +1 more source
A Cross‐Entropy‐Driven MABAC Method Under Interval‐Valued q‐Rung Orthopair Fuzzy Sets
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.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
Interval valued intuitionistic fuzzy evaluations for analysis of a student's knowledge in university e-learning courses [PDF]
, 2018 © The Korean Institute of Intelligent Systems. In the paper a method is proposed for evaluation of the students' knowledge obtained in the university e-learning courses and an evaluation of the whole student class.
Shannon, A +5 more
core +1 more source