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221
A multi‐objective optimization for planning of networked microgrid using a game theory for peer‐to‐peer energy trading scheme
Published 2021-12-01“…All microgrids are connected together and also to the main grid to meet the energy exchange requirements of P2P energy trading. A cooperative game theory technique based on a particle swarm optimization algorithm is used to model the networked microgrid, and to find the suitable sizes of the players that simultaneously maximize the payoff values of both objective functions. …”
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222
Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to Explanation
Published 2023-01-01“…The following methods were used for each challenge: (A) a convolutional neural network adapted for multi-variable time series; (B) a conditional generative adversarial neural network; and (C) visual explanations and calculations of model decisions have been conducted using cooperative game theory (Shapley’s values). The results for the regression, generation, and explanatory techniques for AI-assisted CPET interpretation are presented here in a unique framework for the first time: (A) machine learning techniques reported an expert-level accuracy in the classification of exercise intensity domains; (B) experts are not able to substantially differentiate between a real vs an artificially generated CPET; and (C) Shapley’s values can provide an explanation about the choices of the algorithms in terms of ventilatory variables. …”
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223
Using host traits to predict reservoir host species of rabies virus.
Published 2020-12-01“…We then used a cooperative game theory approach to determine species-specific traits associated with known RABV reservoirs. …”
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224
The Shapley value for a fair division of group discounts for coordinating cooling loads
Published 2020“…To achieve this, we take a coalitional game approach and propose the use of the Shapley value from cooperative game theory, which is the normative payoff division mechanism that offers a unique set of desirable fairness properties. …”
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225
Research on Cluster Economy Operation Model Considering Customer Satisfaction
Published 2022-01-01“…The study analyzes the nature of operators’ revenue, and presents a method to calculate the contribution value using the cooperative game theory. The TOPSIS method is proposed to evaluate the ranking of the producers and sellers in the group. …”
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226
Research on the Optimization of Energy–Carbon Co-Sharing Operation in Multiple Multi-Energy Microgrids Based on Nash Negotiation
Published 2023-07-01“…Furthermore, based on cooperative game theory, this paper establishes an energy–carbon co-sharing Nash negotiation model and negotiates based on the energy–carbon contribution of each subject in the cooperation as bargaining power so as to maximize both the benefits of the MMEM alliance and the distribution of the cooperation benefits. …”
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227
WATERSHED SELECTION FOR ENVIRONMENTAL REHABILITATION USING MULTICRITERIA ANALYSIS
Published 2009-10-01“…Thirteen environmental criteria were selected for application of multicriteria analysis using the methods of Compromise Programming (PC) and Cooperative Game Theory (CGT). Relevance of each criterion to the analysis was given by a questionnaire answered by specialists. …”
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228
An Optimization-Based Cooperative Game Approach for Allocation of Costs and Benefits in Interplant Process Integration
Published 2015-09-01“…One general approach based on cooperative game theory involves pooling the benefits, and then subsequently developing a rational and defensible scheme for sharing the incremental profits among the partners. …”
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229
Research on the Load Distribution Strategy to Meet the QoE Requirements for Conversational Real-Time HD Video Service
Published 2020-05-01“…Finally, considering the influence of the coupling relation between paths on the service quality in multipath relay transmission, fuzzy cooperative game theory was used to design the service load distribution strategy. …”
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230
Centralized peer-to-peer transactive energy market approach in a prosumer-centric residential smart grid environment
Published 2022-11-01“…Therefore, this paper proposes a grid-connected prosumer-centric residential smart community that uses cooperative game theory to exchange, regulate, and plan surplus energy generated by distributed energy resources (DERs) with the other neighbouring prosumers with energy deficits. …”
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231
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
Published 2021-01-01“…An alternative way to interpret the model is with a permutation feature importance metric which employs a permutation approach to calculate a feature contribution coefficient in units of the decrease in the model’s performance and with the Shapely additive explanations which employ cooperative game theory approach. Currently, it is unclear which Random Forest feature importance metric provides a superior estimation of the true informative contribution of features in genetic association analysis. …”
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232
Feature Selection Using Approximated High-Order Interaction Components of the Shapley Value for Boosted Tree Classifier
Published 2020-01-01“…The Shapely value originates from the cooperative game theory and has been widely used in solving machine learning problems due to its high interpretability and consistency. …”
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233
Using Game Theory For Allocation Of Transmission Losses Between The Investors in Deregulated Electrical Power System
Published 2020-01-01“…The concept of Shapley Value adopted from cooperative game theory is used to deal with the fairness of the allocation of loss. …”
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234
Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel
Published 2023-11-01“…In XAI, the Shapley value concept originating from cooperative game theory has become popular for identifying features determining predictions. …”
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235
Cooperative Game-Based Business Model Optimisation for a Multi-Owner Integrated Palm Oil-Based Complex
Published 2021-11-01“…The business model serves as a tool to persuade the companies in collaborating by quantifying their potential economic benefits and contributions for negotiation before forming the POBC. The cooperative game theory model has been useful in distributing cost savings within a coalition of individual plants. …”
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236
Fair Allocation in Crowd-Sourced Systems
Published 2023-08-01“…In this paper, we address the problem of fair sharing of the total value of a crowd-sourced network system between major participants (founders) and minor participants (crowd) using cooperative game theory. We use the framework of a Shapley allocation which is regarded as a fundamental method of computing the fair share of all participants in a cooperative game when the values of all possible coalitions could be quantified. …”
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237
Identification of Key Factors for Urban—Industrial Water Reuse: A Multi-Criteria Analysis Case Study
Published 2022-04-01“…The application of those criteria in Cooperative Game Theory (CGT) and Compromise Programming (CP) methods is proved to be suitable, considering the characteristics of the studied area (i.e., highly urbanized with a history of water scarcity). …”
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238
Developing new scenarios for water allocation negotiations: a case study of the Euphrates River Basin
Published 2016-10-01“…The bankruptcy theory is a cooperative Game Theory method which is used when the amount of demand of riparian states is larger than total available water. …”
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239
A Survey on Matching Theory for Distributed Computation Offloading in IoT-Fog-Cloud Systems: Perspectives and Open Issues
Published 2022-01-01“…While the centralize optimization and non-cooperative game theory based solutions are applicable in a certain number of application scenarios, they fail to be efficient in many of cases, where the global information and control might be unavailable or cost-intensive to achieve it in the large-scale systems. …”
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240
Operational risk allocation in urban rail transit public–private partnership projects
Published 2022-08-01“…The objective of this research is to construct a quantitative risk allocation model among three participants by using cooperative game theory. The risk allocation model was modified based on the consideration of four factors affecting the allocation of operational risks: controllability, risk loss, affordability, and handling cost. …”
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