scholarly journals The Comprehensive Assessment Method of Concrete Damage after Disastrous Fire Based on Game Theory-Normal Cloud Model

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Zhongwei Gao ◽  
Donghui Ma ◽  
Xiaodong Guo ◽  
Wei Wang ◽  
Zhitao Wang

Rapidly and correctly assessing the extent of the damage to a concrete structure after a disastrous fire has great engineering significance. In this paper, an assessment method is proposed based on the game theory-normal cloud model. The surface colors of concrete, exfoliation, cracks, and hammering responses are chosen as the comprehensive assessment indices of concrete damage after fire to establish the corresponding assessment criteria. The normal cloud generator is used to calculate the certainty degree of the grading assessment index of concrete damage after fire. By adopting game theory, the objective weight obtained by the information entropy method and the subjective weight obtained by precedence chart are combined into a comprehensive weight. The comprehensive certainty degree value of concrete damage after fire is then calculated by certainty and weight matrices. The project case analysis shows the assessment results are both intuitive and realistic. This method provides a new approach to the assessment of concrete damage after fire which is more efficient and easier to apply than existing methods.

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 207
Author(s):  
Sining Huang ◽  
Yupeng Chen ◽  
Xusheng Feng ◽  
Tiantian Qiao ◽  
Dandan Yu ◽  
...  

In view of the ambiguity and randomness of the assessment of earthquake scene rescue performance, this paper proposes an integrated assessment method considering quantitative and qualitative influencing factors from three levels: search, rescue and medical treatment. Firstly, this study constructs an assessment index system of rescue performance at the earthquake scene based on the International Search and Rescue Advisory Group (INSARAG) guidelines set by International Search and Response. Secondly, the subjective weights and objective weights of each index were calculated using the hierarchical analysis process (AHP) and cloud model, respectively. The comprehensive weights were calculated using weighted analysis, and the performance assessment results were visually expressed by cloud model images. Finally, the study was applied to an earthquake rescue case with an initial assessment of 4.0065, and its performance was improved by 4.36% when the rescue process was optimized. The assessment results show that earthquake rescue performance can be estimated, and the rationality and effectiveness of the method was validated.


2013 ◽  
Vol 718-720 ◽  
pp. 507-511
Author(s):  
Gao Zhi

The paper discusses and researches the assessment method of graduation results for basketball elective course in Wuhan Institute of Physical Education preliminarily, by literatures and questionnaires. It is shown from the research results that the comprehensive assessment method based on fuzzy mathematical theory reflects the wide practicality and adaptability in the assessment of elective results in physical academies. The educational assessment of physical colleges is conducted under a special circumstance. Over the last decade, lots of new ideas, new concepts, new models, and new methods of foreign education assessment have appeared, such as: alternative assessment, implementation assessment, and dynamic assessment. Some are more mature with feasibility and application value, some methods are cumbersome, lack of feasibility and universal. The paper pays the full attentions and makes calm analysis for the domestic and international development trends in the assessment, based on the scientific, practical, and innovative way. The discussed fuzzy comprehensive assessment method is a method that applies the fuzzy mathematics to educational assessment filed, which highlights the systematization of assessment index of students. It emphasizes the combination of qualitative assessment and quantitative assessment for a comprehensive, objective, and fair assessment of students' development, to describe the condition and progress of students more clearly and accurately.


2014 ◽  
Vol 989-994 ◽  
pp. 2671-2674
Author(s):  
Xu Sheng Gan ◽  
Hua Ping Li

To assess the safety situation in air traffic control effectively, a comprehensive assessment method based on RBF neural network is proposed. At first, the safety assessment principle based on RBF neural network is introduced, and then the safety assessment index system for air traffic control is established from four aspects of human, machine, environment and management. Simulation example of ATC safety assessment gives us a satisfactory result for RBF neural network.


Author(s):  
Charles Roddie

When interacting with others, it is often important for you to know what they have done in similar situations in the past: to know their reputation. One reason is that their past behavior may be a guide to their future behavior. A second reason is that their past behavior may have qualified them for reward and cooperation, or for punishment and revenge. The fact that you respond positively or negatively to the reputation of others then generates incentives for them to maintain good reputations. This article surveys the game theory literature which analyses the mechanisms and incentives involved in reputation. It also discusses how experiments have shed light on strategic behavior involved in maintaining reputations, and the adequacy of unreliable and third party information (gossip) for maintaining incentives for cooperation.


Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1443
Author(s):  
Zhiyuan Dong ◽  
Ai-Guo Wu

In this paper, we extend the quantum game theory of Prisoner’s Dilemma to the N-player case. The final state of quantum game theory of N-player Prisoner’s Dilemma is derived, which can be used to investigate the payoff of each player. As demonstration, two cases (2-player and 3-player) are studied to illustrate the superiority of quantum strategy in the game theory. Specifically, the non-unique entanglement parameter is found to maximize the total payoff, which oscillates periodically. Finally, the optimal strategic set is proved to depend on the selection of initial states.


2011 ◽  
Vol 71-78 ◽  
pp. 2479-2482
Author(s):  
Ling Hua Wang ◽  
Rui Lian Wang ◽  
Pan Hua Ning

According to characteristics about the agricultural water, agricultural water level assessment index system was structured, and Analytic Hierarchy Process was used to determine the importance of each hierarchy in the system. The fuzzy scheme optimum method which was adopted to assess the agriculture system utilization water level. So the fuzzy problems about how to use mathematic method to analyse and deal with the agricultural water assessment were solved to a certain extent. The final result of the example indicated that fuzzy comprehension assessment method could reflect utilization water characteristic in different areas and also showed that the method is correct and practical.


10.5772/6232 ◽  
2008 ◽  
Vol 5 (4) ◽  
pp. 44 ◽  
Author(s):  
Yan Meng

This paper proposes a game-theory based approach in a multi–target searching using a multi-robot system in a dynamic environment. It is assumed that a rough priori probability map of the targets' distribution within the environment is given. To consider the interaction between the robots, a dynamic-programming equation is proposed to estimate the utility function for each robot. Based on this utility function, a cooperative nonzero-sum game is generated, where both pure Nash Equilibrium and mixed-strategy Equilibrium solutions are presented to achieve an optimal overall robot behaviors. A special consideration has been taken to improve the real-time performance of the game-theory based approach. Several mechanisms, such as event-driven discretization, one-step dynamic programming, and decision buffer, have been proposed to reduce the computational complexity. The main advantage of the algorithm lies in its real-time capabilities whilst being efficient and robust to dynamic environments.


Author(s):  
BO JI ◽  
YANGDONG YE ◽  
YU XIAO

This paper proposes a combination weighting algorithm using relative entropy for document clustering. Combination weighting is widely used in multiple attribute decision making (MADM) problem. However, there exist two difficulties to hinder the applications of combination weighting on document clustering. First, combination weighting is based on the integration of subjective weighting and objective weighting. However, there are so many attributes in documents that the subjective weights which rely on manual annotation by experts are impracticable. Secondly, a document data object might contain hundreds or even thousands of features. It is an extremely time-consuming task to calculate the combination weights. To address the issues, we suggest to simplify the combination weighting by not distinguishing subjective weight and objective weight. Meanwhile, we choose relative entropy method to reduce running time. In our algorithm, we obtain a combination weight set with 14 combination forms. The experiments on real document data show that both on the AC/PR/RE measures and the mutual information (MI) measure, the proposed CWRE-sIB algorithm is superior to the original sequential information bottleneck (sIB) algorithm and a series of weighting-sIB algorithms, which are built by applying a single weighting scheme to the original sIB algorithm.


2021 ◽  
Vol 34 (02) ◽  
pp. 1049-1064
Author(s):  
Valentina V. Nikiforova ◽  
Elena E. Grigoryeva ◽  
Petr V. Gulyaev ◽  
Grigoriy S. Kovrov ◽  
Nikolay N. Konstantinov

The spatial organization of productive forces, the efficient use of available facilities, and the production potential assessment of economic sectors in a given region are topical issues. The Republic of Sakha (Yakutia) is a large resource-dependent region of Russia, remarkable for the geographical dispersion of deposits over a vast territory and the complex transport and power supply infrastructures. This paper presents a comprehensive assessment of the feasibility of cluster organization in the subsoil use sector in the Republic of Sakha (Yakutia), the Russian Federation, factoring in the existing and prospective economic zoning and the existing potential. The republic was divided into zones based on a cluster framework of the subsoil users. The study used statistical data on the municipal districts and financial indicators of the extractive industry companies. The integrated method was applied in the assessment, and the performance index of the identified cluster territories was calculated on a ten-point scale. The identified zones were rated by resource and production potential. The general cluster zone performance index was calculated. It appeared feasible to cluster the extractive industry in the studied region as it can increase competitiveness of local companies and contribute to the socio-economic development of its municipal districts. The proposed method can be applied for comprehensive assessment of the subsoil use sector in northern territories.


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