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For the singular interconnected large-scale systems with uncertainties satisfied the norm-bounded time-invariant, directly from the start of each subsystem-study its decentralized guaranteed cost control. Give a sufficient condition of the existence of the decentralized guaranteed cost controller. The design of the decentralized guaranteed cost controller is converted into solving the feasible solution...
In a consignment contract between manufacturer and retailers, the manufacturer determines the final price and the sales channel and make the choice of whether adding a direct channel or not. Based on the framework of Stackelberg game, we analyze the optimal channel choice and pricing of manufacturer under environment of stochastic demand. We find the manufacturer will benefit from adding a direct...
Irreversible investments with largest outlay made with incomplete information are the mainstay of the oilfield development. Real Options Analysis (ROA) is a useful tool for making investment decisions under market uncertainty. Normal information generates continuous mean-reverting process for oil prices, whereas random abnormal information generates discrete jumps of random size. We evaluate an oilfield...
It is normally that the enterprises have partial demand information about the single-period products due to the short sales period and quickly demand changes. Under price-dependent demand, the demand uncertainty will be larger. In this paper, the maximum entropy formulism is employed to establish a model to find the most possible distribution. Then it discusses the independent inventory decision and...
In this paper, innovation and management for fuzzy front end of product design are studied. In view of the whole development trend and mode of product design, the innovative idea on a whole product concept in fuzzy front end was put forward. Sources of product conceiving and finding its methods were carefully studied, and an effective screening flow of product ideas and the judgment flow of feasibility...
In recent years, SMEs have played a major role in the growth and development of all the leading economies in Asia. And clusters of SMEs are formed to support development of SMEs. This paper studies the supply chains which embed in the cluster of SMEs for organic industry. Define the concept of Cluster Embedded Supply Chains. Aim at SMEs and organic industry, gain the special characteristics of these...
The thesis introduces entropy and dissipative structure theory of thermodynamics into the evolved study of compensation administration system. According to the compensation administration system's dissipative characteristics, entropy model is constructed on the basis of evolving compensation administration system. Through the quantization in terms of entropy, the thesis investigates the evolution...
The robust coordination of a two-stage supply chain with a risk-averse retailer and a risk-neutral supplier is studied under the condition of only knowing historical demand observation data. An objective function based on conditional value at risk is developed with respect to the risk-averse retailer, and the corresponding coordination mechanism for supply chain is designed with only knowing historical...
With respect to decision making problems with interval numbers, a multi-criteria decision making method under prospect theory is proposed. This method firstly regardes the criteria value as N arithmetic random numbers in the given interval, and the regularity of criteria value distribution for the interval is expressed by the normal distribution function. Then, on the basis of the given reference...
The differences and similarities of the leadership mechanism in the Sino-Norwegian bi-cultural teleworking teams are discussed in terms of two aspects: the basic leadership mechanism and the remote leadership mechanism. And then in the case study of a bi-cultural teleworking team in a Sino-Norwegian Joint Venture M, the problem about leadership mechanism in the bi-cultural teleworking team is analyzed,...
This paper is concerned with the study of linear rebate contracts as applied in supply chain from the supplier's perspective. Consider a supply chain comprised of a retailer and a supplier and the customer demands stochastically dependent on the retail price. The retailer's optimal policy for setting the retail price is first investigated. We then develop the optimal decision of the supplier and prove...
Bombs are detected by different machines and mediums but all works only under the presences of experts. They will analyze the presence and type of bombs. But this way of analyzing takes long time. In this paper, A combination of wireless sensor network supported by an expert system is the crux of the detection mechanism. Surveillance is taken care by 24X7 round the clock with effective alarming systems...
This paper proposes an application of Fast Voltage Stability Index (FVSI) to Reactive Power Planning (RPP) using Evolutionary Programming (EP). FVSI is used to identify the weak buses for the RPP problem which involves experimental process of voltage stability analysis based on the load variation. The point at which FVSI close to unity indicates the maximum possible connected load and the bus with...
This paper addresses a new uncertainty set - interval random uncertainty set for robust Value-at-Risk optimization. The form of interval random uncertainty set makes it suitable for capturing the downside and upside deviations of real-world data. These deviation measures capture distributional asymmetry and lead to better optimization results. We also apply our interval random chance-constrained programming...
The Quantified Constraint Satisfaction Problem(QCSP) is a generalization of the classical constraint satisfaction problem in which some variables can be universally quantified. This additional expressiveness can help model problems in which a subset of the variables take value assignments that are outside the control of the decision maker. Typical examples of such domains are game-playing, conformant...
A new method is presented which combines a deterministic analytical method and a probabilistic measure to classify rock types on the basis of their hyperspectral curve shape. This method is a supervised learning algorithm using Gaussian Processes (GPs) and the Observation Angle Dependent (OAD) covariance function. The OAD covariance function makes use of the properties of the Spectral Angle Mapper...
In order to improve the recognition rate of the early fire, this paper analyzed the relationship between the image resolution and fire recognition rate from the application point of view. On this basis, we have adopted the Dempster-Shafer evidence theory and carried on the recognition experiment to the different resolution fire image under different environmental conditions. The simulation experimental...
For the vague nature of trust and reputation, the traditional reputation modelings used the classic probability or fuzzy sets to describe and measure the degree of trust. The theoretic foundation of these models is subject logic or fuzzy logic. But in some practical applications, the usage of simple probability model led trust's subjectivity and uncertainty to randomness. For the fuzzy logic, the...
This paper proposes an application of Evolutionary Algorithms (EAs) such as Differential Evolution (DE), Evolutionary Programming (EP), Real coded Genetic Algorithm (RGA), Covariance Matrix Adaptation Evolution Strategy (CMAES) and Particle Swarm Optimization (PSO) to Reactive Power Planning (RPP) problem. RPP is a non-smooth and non-differentiable optimization problem for a multiobjective function...
Considering the problem that it is difficult to quantify the uncertainty problem about risk assessment of power network planning projects, G1 method and F-DS evidential theory are adopted to establish the assessment model of power network planning projects. Put forward the weighted formula of evidence combination with the use of G1 method. Apply information fusion technology of F-DS evidential theory...
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