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Multiple attribute group decision‐making based on order‐α divergence and entropy measures under q‐rung orthopair fuzzy environment
(Wiley, 2020)
The q-rung orthopair fuzzy set ((ROPFS)-R-q), proposed by Yager, is a more effective and proficient tool to represent uncertain or vague information in real-life situations. Divergence and entropy are two important measures, ...
Rescuing the MaxEnt treatment for q-generalized entropies
(Elsevier Science, 2018-02)
It has been recently argued that the MaxEnt variational problem would not adequately work for Renyi's and Tsallis’ entropies. We constructively show here that this is not so if one formulates the associated variational ...
Multi-q pattern analysis: A case study in image classification
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
This paper compares the effectiveness of the Tsallis entropy over the classic Boltzmann-Gibbs-Shannon entropy for general pattern recognition, and proposes a multi-q approach to improve pattern analysis using entropy. A ...
A family of nonextensive entropies
(1998-09-21)
A generalized nonextensive two-parameter entropy is developed, along lines which unify current nonextensive frameworks. It recovers, as particular cases, the Tsallis and symmetric entropies, as well as the Boltzmann-Gibbs ...
Disequilibrium, complexity, the Schottky effect, and q-entropies, in paramagnetism
(Elsevier Science, 2017-12)
We investigate connections between statistical quantifiers and paramagnetism. More concretely, we apply the notions of (i) disequilibrium and (ii) statistical complexity, to a paramagnetic system of non-coupled dipoles. ...
Characterizing time series via complexity-entropy curves
(American Physical Society, 2017-06)
The search for patterns in time series is a very common task when dealing with complex systems. This is usually accomplished by employing a complexity measure such as entropies and fractal dimensions. However, such measures ...