Results 71 to 80 of about 3,785 (183)
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.An optimal contract decomposition method considering monthly contract disintegration deviation minimisation and its impact on retail pricing strategy, comparing typical decomposition approaches, is investigated in this paper. The TOU price is settled by solving a multi‐objective optimisation problem considering the retailer's expected profit ...
Ruiqi Lyu +4 more
wiley +1 more source
A Linear Diophantine Fuzzy Graph‐Theoretic Approach for Planar Dynamic Traffic Optimization
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Dynamic urban traffic signal control systems face uncertainties such as fluctuating vehicle densities, unpredictable incidents, and varying driver behaviors, making precise decision‐making highly challenging. To address these complexities, fuzzy planar graphs have been employed for uncertainty modeling.
Waheed Ahmad Khan +5 more
wiley +1 more source
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
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
Intuitionistic Fuzzy Topological Polygroups
International Journal of Analysis and Applications, 2016 The notion of intuitionistic fuzzy set was introduced by Atanassov as a generalization of the notion of fuzzy set. Intuitionistic fuzzy topological spaces were introduced by Coker.
N. Abbasizadeh, B. Davvaz
doaj +2 more sources
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
Martingale Convergence Theorem for the Conditional Intuitionistic Fuzzy Probability
Mathematics, 2020 For the first time, the concept of conditional probability on intuitionistic fuzzy sets was introduced by K. Lendelová. She defined the conditional intuitionistic fuzzy probability using a separating intuitionistic fuzzy probability.
Katarína Čunderlíková
doaj +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