An Improved Uncertainty Measure Theory Based on Game Theory Weighting

He, Hujun; Tian, Chong; Jin, Gang; An, Le

doi:10.1155/2019/3893129

Cited by 9 publications

(8 citation statements)

References 9 publications

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“…Solving the problem of multicriteriality on the basis of a multiexpert system [44] seems promising. In this case, various software experts obtain decisions using various optimization or other criteria, and then coordinate them using mathematical methods of confict resolution [45,46].…”

Section: Multicriterialitymentioning

confidence: 99%

The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets

2023

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The presented article is methodological in nature and is devoted to the analysis of observation series of financial asset quotation changes in capital markets. The most important feature of these processes is their instability, which manifests itself in high sensitivity to seemingly minor disturbing factors. This phenomenon is well-studied in the theory of nonlinear dynamical systems and is described by models of deterministic chaos. However, for the processes considered in the article, the dynamic instability of the immersion environment is exacerbated by stochastic uncertainty caused by random fluctuations in the pricing process. As a result, describing observation series of quotations of financial assets is difficult because it involves stochastic chaos. This article analyzes and classifies chaotic series of observations to help model and forecast related processes.

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Section: Multicriterialitymentioning

confidence: 99%

The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets

2023

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“…Comprehensive evaluation refers to the method of determining an evaluation index system based on the evaluation object and evaluation objectives [31] and using certain mathematical methods to convert multiple evaluation indicators into an index that can characterize the comprehensive performance of the evaluation object [32,33]. The performance of automated vehicles is affected by the driving system, environment, etc.…”

Section: Comprehensive Evaluation Combining Subjective and Objective ...mentioning

confidence: 99%

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

Wang

et al. 2023

Machines

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The rapid development of automated vehicle technology requires reasonable test scenarios and comprehensive evaluation methods. This paper proposes an evaluation method for automated vehicles combining subjective and objective factors. First, we propose a method for automatically generating test scenarios and for batch testing autonomous vehicles. Then, the use of the target layer, total index layer, and index layer of automated vehicles is proposed to establish a more comprehensive evaluation system for automated vehicles. Specifically, the analytic hierarchy process (AHP, subjective) and improved criteria importance though intercriteria correlation (CRITIC, objective) methods are used to determine the weight of the indicators, and a two-level fuzzy comprehensive (subjective and objective) evaluation method is adopted to comprehensively evaluate the performance of the automated vehicles. Finally, the effectiveness of the proposed evaluation method combining subjective and objective factors is verified through virtual simulations and real-world experiments. Through a combination of subjective and objective methods, improved results can be obtained for safety, efficiency, economy, intelligence, and comfort tests.

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“…Teory. Considering the data dependence of the objective weighting method and the subjectivity of the subjective weighting method, this part uses the game theory combination weight method to determine the index weight [31].…”

Section: Comprehensive Weight Calculation Based On Gamementioning

confidence: 99%

Investment Efficiency Assessment of Distribution Network for the High Proportion of Renewable Energy: A Hybrid Multiattribute Decision-Making Method

Lijia

Guo-dong

Keyao

et al. 2022

Mathematical Problems in Engineering

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To cope with the high proportion of renewable energy connected to the grid under the carbon peak and neutrality goal, the investment in distribution network construction will account for more than 50% of the power grid companies’ investment direction in distribution networks in China. According to the characteristics of distribution network investment under the high proportion of renewable energy, a new evaluation index system of distribution network investment efficiency is constructed from the three dimensions of power supply guarantee capacity, total carrying capacity and value creation capacity. Besides, it put forward the game theory combined weighting method based on fuzzy BWM (F-BWM) method and anti-entropy weight method (a-EWM) and the multi-attribute decision-making method of MARCOS based on Pearson coefficient instead of the covariance matrix and improved weighted Mahalanobis distance (I-M-MARCOS). Finally, eight typical distribution network projects in a province of China are selected for empirical analysis. The results show that the model has good applicability in the evaluation of distribution network investment efficiency, and expanding the scale of distribution network and flexibly adjusting resources are the key ways to improve the investment efficiency of distribution networks.

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An Improved Uncertainty Measure Theory Based on Game Theory Weighting

Cited by 9 publications

References 9 publications

The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets

The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets

An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors

Investment Efficiency Assessment of Distribution Network for the High Proportion of Renewable Energy: A Hybrid Multiattribute Decision-Making Method

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