Results 61 to 70 of about 1,508 (214)
Heterogeneous Fuzzy Group Decision‐Making Model With Mixed Criteria
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.Organizational decisions, often originating from diverse groups of managers with varying criteria, encounter challenges due to the inherent ambiguity in human judgments, particularly those involving preferences. This paper proposes a nuanced solution using a heterogeneous fuzzy group decision‐making method, accommodating diverse criteria based on real ...
Akbar Karimi +3 more
wiley +1 more source
Advances in Fuzzy Systems, 2018 Fuzzy entropy means the measurement of fuzziness in a fuzzy set and therefore plays a vital role in solving the fuzzy multicriteria decision making (MCDM) and multicriteria group decision making (MCGDM) problems.
Tabasam Rashid +2 more
doaj +1 more source
Inclusion measure for intuitionistic fuzzy sets and embedding of intervals [PDF]
Notes on IFSComparison of measuring the degree of inclusion for two intuitionistic fuzzy sets (IF-sets) and measuring the degree of embedding of two intervals is considered. Embedding is understood as the classical inclusion of intervals.
Michaela Bruteničová, Vladimír Janiš
doaj +1 more source
Interval-Valued Intuitionistic Fuzzy Soft Sets [PDF]
Journal of Korean Institute of Intelligent Systems, 2008 We introduce the concept of interval-valued intuitionistic fuzzy soft sets, which is an extension of the interval-valued fuzzy soft set. We also introduce the concepts of operations for the interval-valued intuitionistic fuzzy soft sets and study basic some properties.
openaire +1 more source
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
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
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
An Improved Correlation Coefficient of Intuitionistic Fuzzy Sets
Journal of Intelligent Systems, 2019 The intuitionistic fuzzy set is a useful tool to deal with vagueness and uncertainty. Correlation coefficient of the intuitionistic fuzzy sets is an important measure in intuitionistic fuzzy set theory and has great practical potential in a variety of ...
Huang Han-Liang, Guo Yuting
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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