Entropy plays a vital role within fuzzy set theory as it quantifies the level of uncertainty present in the data. This … study proposes a novel entropy measure tailored for Picture Fuzzy Sets (PIFS). This entropy measure is formulated based on … the axioms developed for PIFS entropy, ensuring its suitability for such sets. We use a validation process to ascertain …

analytical hierarchy process (AHP) and entropy method, using pair-wise comparison matrices collected from a panel of ten experts …

This study uses the wavelet leaders method to examine multifractal characteristics and multiscale entropy patterns in … the heating oil market. The empirical results based on multiscale entropy show strong evidence of a reduced irregularity …

predict and classify PD using homogeneous XGBoost ensemble techniques with reduced amount of entropy. Synthetic Minority …

This study proposes a novel entropy function for the intuitionistic fuzzy sets to improve the existing fuzzy entropy … measure. We introduce an attitude-based entropy measure by methodically calculating the experts' attitude values through … of the proposed method. An illustrative example exhibits the effectiveness of the proposed intuitionistic fuzzy entropy …

matrices for each decision expert. The maximum deviation and entropy methods determine objective weights for decision experts …

relationship between measures of entropy and similarity and represent the axiomatic definition of PHFS entropy measures. Finally …

. In this paper, the effects of ten different objective weighting methods, i.e., equal weight, entropy weight, Criteria …)-based optimization of two NTM processes. In the first example, the optimal parametric combination computed using equal weight, entropy …

made in the last decades. This contribution generalizes: It proposes a behaviorist model to measure power in an entropy …

Preference by Similarity to Ideal Solution (TOPSIS) are used along with the entropy-based weights. The selection algorithms …