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Network centrality reflects node importance in networks, which is a challenging problem in social network analysis. Based on Fuzzy Set and MYCIN theory, this paper proposes a novel node centrality measuring method and models n-monkeys dataset, where n is 20. Initially, we created monkeys relationship graph and generated relationship matrix based on the monkeys' encountering times in a specific time...
The non-iterative algorithm that reveals the general physical basis of measuring processes and instrumental (computer) computations is proposed and investigated. The algorithm is based on the previously proposed postulate and consists in finding the optimal, locally defined width of the averaging interval. The optimal width of the interval provides the smallest error when measuring or computing the...
Bayesian Optimization or Efficient Global Optimization (EGO) is a global search strategy that is designed for expensive black-box functions. In this algorithm, a statistical model (usually the Gaussian process model) is constructed on some initial data samples. The global optimum is approached by iteratively maximizing a so-called acquisition function, that balances the exploration and exploitation...
In multiple attribute decision analysis (MADA) problems, one often needs to deal with assessment information with uncertainty. The evidential reasoning approach is one of the most effective methods to deal with such MADA problems. As a kernel of the evidential reasoning approach, an original evidential reasoning (ER) algorithm was firstly proposed by Yang et al, and later they modified the ER algorithm...
Quadrotors, like any dynamical system, are subjected to model uncertainties which may cause instability and inaccuracy in navigation. In addition, the presence of input constraints violates the affine property which, as a result, adds additional challenges and complicates designing the control system for quadrotors. In this paper, an adaptive nonlinear control algorithm is designed to overcome these...
Information systems have become necessary component of the modern world. They encompass all areas of the human activities. Each area imposes its own, individual specifics, which leads to solve a number of unique problems to each of the system. Fuzzy methods allow an optimal way to overcome the difficulties that arise in any information system.
This paper discusses a job-shop scheduling problem with uncertain processing times, which are described by discrete scenarios. A robust optimization model is established by minimizing the worst-case makespan for the job-shop scheduling system. Based on the characteristics of the established model, a neighborhood structure is constructed under the worst-case scenario, and a tabued simulated annealing...
Reliability management is of great importance for the secure and sufficient operation of power systems, thus the n — KG — KL contingency constrained unit commitment (CCUC) problem is determined for investigation in this paper. In order to reveal the capability of different methods on the solution of CCUC, both explicit and implicit decomposition frameworks have been investigated, as well as their...
To apply the smart wolf pack algorithm to solve the uncertain bilevel knapsack problem effectively, a binary smart wolf pack algorithm is designed. Firstly, the paper proposes an uncertain bilevel knapsack problem model by introducing uncertainty theory to the traditional bilevel knapsack problem model. Secondly, to solve the model of uncertain bilevel knapsack problem by the algorithm directly, we...
The Dempster-Shafer evidence combination method will appear inconsistent conclusions for the conflict evidence. One new universal evidence combination method was proposed. According to the concept of the Pearson correlation coefficient. Evidence distances which represent the conflict degree were calculated, and then the weight coefficient were further converted. The evidences probability were redistributed...
Network flow records are the foundational and key data of network flow technology. As network flow technology is widely applied, the correctness of network flow record becomes more and more important. For UDP flow identification, timeout strategy is accepted. However, there is no research to analyze the principle and reasonableness of timeout strategy, so we propose a concept of attribute recognition...
Aiming at earthquake prediction field, this paper puts forward a multi-expert multi-attribute uncertainty management algorithm based on DS evidence theory. Seismic signal has so much uncertainty that traditional mathematical statistics method cannot solve. Considering DS theory is an excellent uncertainty reasoning method, we extract three instantaneous attributes of plural seismic signal as prediction...
Using graph-theoretic tools, distributed control algorithms have been widely designed to manage a cooperative task among a group of individual agents. However, when agents are physically interconnected, these algorithms do not guarantee stability of the closed-loop multiagent system. In this paper, we consider a class of interconnected linear multiagent systems with state- and input-coupled modeling...
The paper considers the problem of ship autopilot design based on Bech's model of the vessel. Since the ship model is highly nonlinear and the state vector is not completely measurable, the control system synthesis is performed by means of output feedback linearization method combined with a state observer. Due to considerable parameter variations and other substantial uncertainties a robust-adaptive...
More and more space missions require formation flying. Multi-spacecraft system cooperative control is one of its basic problem. Thus it should attract great attention. In this paper we investigate cooperative control problem of multi-spacecraft orbital tracking mission with input dead zone nonlinearity, system uncertainty, and external disturbance based on directed communication. We use graph theory...
This paper describes a linear multi-armed bandit algorithm that exploits sparsity in the underlying unknown weight vector controlling rewards. In linear multi-armed bandits, a user chooses a sequence of (slot machine) “arms” to pull, and each arm pull results in the user receiving a stochastic reward with mean equal to the inner product between a known feature vector associated with the arm and an...
In this paper, the distributed adaptive finite-time consensus tracking control algorithm is proposed for multi-AUV(autonomous underwater vehicle) systems. Firstly, the graph theory is used to describe the communication topology of multi-AUV system. Secondly, a nonsingular fast terminal sliding mode is designed and the distributed control law is constructed for the multi-AUV system based on the force...
Coordinate rotation digital computer (CORDIC) algorithm can be used to implement a variety of transcendental functions. Using theory and techniques of uncertainty evaluation, we discuss the error sources and the total computational error of CORDIC algorithm in calculating arctangent, sine, and cosine functions. Besides, we reveal some conclusions for error propagation mechanism, which are not quite...
Fuzzy rough technique is a mathematical tool to deal with fuzzy and rough knowledge, which could reduce the redundant objects and attributes by keeping the information invariant. In the existing researches on fuzzy rough sets, all the attributes are assumed to have the same weights for the decision. Actually different attributes may play different roles on the decision. As a result, we introduce weights...
The Sequential Probability Ratio Test (SPRT) is a classical detector for problems with an unfixed sample size. Though it is optimal under some conditions, SPRT can be directly used only for a binary hypothesis with exactly known distributions. In this paper, sequential detection problem with an uncertain hypothesis distribution is considered, in which the uncertain distribution is formulated in a...
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