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Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

Entropy

3.6K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.6K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

24.2K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
24.2K
Ranks01:02

Ranks

496
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
496
Entropy and Solvation02:05

Entropy and Solvation

8.4K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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Entropy within the Cell01:22

Entropy within the Cell

12.9K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
12.9K

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相关实验视频

Updated: Jan 29, 2026

Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides
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Bulk and Thin Film Synthesis of Compositionally Variant Entropy-stabilized Oxides

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在MCDA中的和规范化:对排名稳定性的数据驱动视角.

Ewa Roszkowska1

  • 1Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland.

Entropy (Basel, Switzerland)
|January 28, 2026
PubMed
概括

多重标准决策分析 (MCDA) 中的规范化技术显著影响排名稳定性. 这项研究揭示了数据如何影响这些规范化方法,为可靠的决策提供了基于的方法.

科学领域:

  • 运营研究 运营研究
  • 决策科学 决策科学 决策科学
  • 信息理论 信息理论

背景情况:

  • 在多重标准决策分析 (MCDA) 中,规范化对于比较异质数据至关重要.
  • 不同的规范化技术可能会导致不同的排名,导致决策结果的不确定性.
  • 标准数据的结构,特别是它的,影响了规范化行为和排名稳定性.

研究的目的:

  • 在TOPSIS框架内检查七种常见的规范化技术的行为 (通过与理想解决方案相似的订单偏好技术).
  • 分析标准数据结构,特别是,如何影响规范化结果和排名稳定性.
  • 提出基于的方法来选择规范化技术,以提高MCDA的透明度和稳定性.

主要方法:

  • 对七种规范化程序 (矢量,最大,线性和,最大-最小) 的分析,考虑数学属性,灵敏度和成本标准处理.
  • 使用香农作为信息分散和标准数据中的结构不确定性的衡量标准.
  • 一项实验性研究,使用十个替代方案和四个标准 (高和低) 来证明在规范化效应中的调解作用.

主要成果:

  • 单独的规范化选择可以导致偏好值和排名的实质差异.
  • 高度标准通常会导致稳定的排名,而低度标准会放大灵敏度,特别是在极端或成本类型数据.
关键词:
多重标准决策分析分析这里是TOPSIS的地图.成本和收益标准是成本和收益的标准.数据分布数据的分布.进入的过程中,标准化技术的标准化技术排名的逆转 排名的逆转排名稳定性的稳定性不确定性是一种不确定性.

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  • 作为数据结构和正常化诱导的排名变化之间的关键调解者.
  • 结论:

    • 规范化技术的选择对MCDA结果产生重大影响,发挥了关键的调解作用.
    • 低度标准更容易受到等级不稳定性引起的规范化,特别是在具有挑战性的数据类型.
    • 基于的方法可以提高MCDA中规范化选择的方法透明度和稳定性.