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A novel evaluation model based on connection cloud model and game theory under multiple uncertainties
Under uncertainty, the evaluation inevitably involves the randomness and fuzziness of indexes and weighting. Although the normal cloud model can...
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Solving hesitant fuzzy linguistic matrix game with regret theory
It is convenient and effective for the two players playing a finite game to describe their utility values using qualitative linguistic information...
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Performance Assessment Framework and Deterioration Repairs Design for Highway Tunnel Using a Combined Weight-Fuzzy Theory: A Case Study
The purpose of this study is to develop a method for highway tunnel performance evaluation using combined weight theory and fuzzy multi-criteria...
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Evolutionary game analysis of enterprise carbon emission regulation based on prospect theory
With the continuous development of a low-carbon economy, the issue of carbon emission regulation has attracted extensive attention. Considering the...
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A Two-stage Service-oriented Task Offloading Framework with Edge-cloud Collaboration: A Game Theory Approach
With the fast development of Mobile Internet, data traffic generated by end devices is anticipated to witness substantial growth in the future years....
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Research on strategies of multi-spacecraft interception based on matrix game
Aiming at the problem of non-cooperative spacecraft interception under the many-to-many pursuit-evasion game scenario with complete information, this...
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Research on the prediction of mine water inrush disasters based on multi-factor spatial game reconstruction
Water damage in mines poses a widespread challenge in the coal mining industry. Gaining a comprehensive understanding of the multi-factor spatial...
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A Systematic Review on Game-Theoretic Models and Different Types of Security Requirements in Cloud Environment: Challenges and Opportunities
The presented survey paper explores the application of game theoretic models for addressing security challenges in cloud computing environments. It...
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Shapley value: from cooperative game to explainable artificial intelligence
With the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust...
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Intelligent-Assist Algorithm for Remote Shared-Control Driving Based on Game Theory
Contemporary autonomous-driving technology relies on good environmental-perception systems and high-precision maps. For unknown environments or...
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Game Theory-Based Finite Element Model Updating of a Cable-Stayed Footbridge
This paper describes the use of the evolutionary game theory model to improve the finite-element model updating of civil engineering structures. For... -
An evolutionary game algorithm for minimum weighted vertex cover problem
The minimum weighted vertex cover (MWVC) problem is to find a subset of vertices that can cover all the edges of the network and minimize the sum of...
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Rockburst prediction based on optimization of unascertained measure theory with normal cloud
Rockburst is one of the common geological disasters in deep underground areas with high stress. Rockburst prediction is an important measure to know...
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Fuzzy ELECTRE II Location Preselection Model of Temporary Marine Dum** Area Based on S-Shaped Utility Function and Combination Weight
As an important link of marine dum** management, reasonable selection of the location of temporary marine dum** areas is of great significance to...
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Unsupervised sentiment analysis of Hindi reviews using MCDM and game model optimization techniques
In this study, we develop a novel multi-criteria decision-making (MCDM) and game-theoretic mathematical framework for analyzing review sentiment. The...
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Evolutionary Game Analysis of the Production Decisions of Automakers in the Chinese Automobile Industry: A Tripartite Model of Government, Automakers, and Consumers
Based on the evolutionary game approach, this paper analyzes how the automaker makes rational production decisions under the influence of the...
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Distributed Optimization Algorithm for Multi-agent System with Time-Varying Communication Delay Based on the Game Theory
In this paper, the distributed optimization problem for multi-agent system with time-varying communication delay... -
Deep Reinforcement Learning-Based Intelligent Decision-Making for Orbital Game of Satellite Swarm
Recent years have witnessed the rapid development of aerospace science and technology, and the orbital game technology has shown great potential... -
A tripartite evolutionary game analysis of providing subsidies for pick-up/drop-off strategy in carpooling problem
Although the pick-up/drop-off (PUDO) strategy in carpooling offers the convenience of short-distance walking for passengers during boarding and...
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Detecting IoT botnets based on the combination of cooperative game theory with deep and machine learning approaches
An Internet of Things (IoT) botnet is a collection of infected smart devices that are remotely managed by a botmaster. The injection of multiple...