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Updated: Jun 14, 2025

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新的混合EC-PROMETHEE方法与随机重量范围的多次代:在Python中逐步应用

Marcio Pereira Basilio1,2, Valdecy Pereira2, Fatih Yiğit3

  • 1Controladoria-Geral do Estado do Rio de Janeiro (CGE), Avenida Erasmo Braga, 118, Centro, Rio de Janeiro 20020-000, Brazil.

MethodsX
|September 5, 2024
PubMed
概括

本研究介绍了EC-PROMETHEE,这是一种混合决策方法,可以减少在赋予标准权重时的主观性. 它使用一系列权重来生成一致的最终排名,改善多标准决策分析.

关键词:
一个严格的批评者.决策者是一个决策者.这是EC-PROMETHEEE.Entropy Entropy麦克达和麦克达是什么意思运营研究 运营研究他承诺他会这样做.

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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