Hence, higher weight should be given to the index. The larger the E i is, the greater the differentiation degree of index i is, and more information can be derived. In the actual evaluation using the EWM, is generally set when p ij = 0 for the convenience of calculation. In the EWM, the entropy value E i of the ith index is defined as The standardized value of the ith index in the jth sample is denoted as p ij, and its calculation method is as follows: The first step is the standardization of measured values. In this method, m indicators and n samples are set in the evaluation, and the measured value of the ith indicator in the jth sample is recorded as x ij.
The simulation reveals the distortion phenomenon in the calculation of the EWM and its influence on decision-making. In this study, we consider the site selection of water source as an example and discuss the multi-index decision-making process with the help of Monte Carlo Simulation. Subsequently, the decision-making result is distorted. However, based on engineering practice, we have found that the weighted result of the EWM cannot always accurately reflect the information amount and importance of the index. According to the traditional literature, the results of the EWM are always reliable and effective. Moreover, higher weight should be given to the index, and vice versa. The higher the degree of dispersion of the measured value, the higher the degree of differentiation of the index, and more information can be derived. The EWM evaluates value by measuring the degree of differentiation. studied the water characteristics of Gucheng Lake, such as eutrophication, health, and spatial distribution by the EWM. Based on the EWM, Zhang and Wang evaluated stress factors and the efficiency of water management measures in the Chongqing city of China. made a comprehensive assessment on lake water quality in Shahu Lake to provide valuable information about present lake water quality for decision-making. Therefore, the EWM has been widely used in decision-making in recent years. Compared with various subjective weighting models, the biggest advantage of the EWM is the avoidance of the interference of human factors on the weight of indicators, thus enhancing the objectivity of the comprehensive evaluation results. The entropy weight method (EWM) is an important information weight model that has been extensively studied and practiced. These two shortcomings indicate that the EWM cannot correctly reflect the importance of the index weight, thus resulting in distorted decision-making results. However, the EWM only considers the numerical discrimination degree of the index and ignores rank discrimination. Second, in multi-index decision-making involving classification, the classification degree can accurately reflect the information amount of the index. Subsequently, this outcome will lead to immense index weight with low actual differentiation degree. First, too many zero values result in the standardization result of the EWM being prone to distortion. One example is water source site selection, which is generated by Monte Carlo Simulation. This study shows that the rationality of the EWM in decision-making is questionable. Meanwhile, higher weight should be given to the index, and vice versa. The greater the degree of dispersion, the greater the degree of differentiation, and more information can be derived. Main article: Entropy : Zero/AchievementsĮntropy : Zero includes 31 Steam achievements.Entropy weight method (EWM) is a commonly used weighting method that measures value dispersion in decision-making.
#Entropy zero mod#
The mod features new environments such as the desolate snow-covered streets of City 10, and the Metrocop has several unique weapons, such as a Stun Baton, deployable Manhacks, and a prototype AR2 Pulse Rifle with a much larger ammunition capacity.Īs of September 2020, Entropy : Zero has more than 3,100 reviews on Steam, with 92% of them being positive. The Metrocop must then make his way through City 10, which has been abandoned by the Combine following the outbreak of a mysterious disease, and fight both hordes of Zombies and squads of Resistance fighters moving to fill the vacuum left by the evacuating Combine. After participating in a raid on a Resistance hideout, the Metrocop and his fellow officers board a Razor Train heading out of the City, only for the Train to derail, with the Metrocop as the sole survivor. Entropy : Zero takes place eleven months prior to the events of Half-Life 2, following the perspective of a Combine Civil Protection officer simply referred to in the credits as "Metrocop" or "Badcop".
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