Showing papers in "Systems Engineering - Theory & Practice in 2005"

TL;DR: Wang et al. as mentioned in this paper constructed a discrete grey forecasting model called DGM(1,1) on the basis of the angle from discrete to discrete, and the relationship between it and original grey forecasting models was studied.

TL;DR: The algorithm proposed here is finally demostrated with satisfactory solution by solving nonliner integer programming problems with non-restriction and restriction.

TL;DR: In this paper, the price decisions of recycled products based on the reverse supply chain between the manufacturer and the retailer were studied by game theory and two non-cooperative game equilibrium (Stackelberg equilibrium and Nash equilibrium) and a cooperative game equilibrium were obtained.

TL;DR: In this article, the authors study the impact of demand disruptions on the supply chain coordinated by a classical quantity discount contract and give the optimal response of the whole supply chain as a whole to the disruptions.

TL;DR: In this paper, the authors introduce the possibility degree formula for the comparison between two interval numbers, and the concepts of the possible effective solution and the possible weak effective solution are presented.

TL;DR: The study indicates that BP neural network is a model without linear mapping, high in correlation among indexes, changing non-line and that a relatively satisfying outcome can be gotten even if the data are not complete or lacking.

TL;DR: Based on the exponential trait of grey model and the definition of integral, the reconstruction method of GM(1,1) model's background value of non-equildistance sequence is put forward and the background value reconstructed is by far more precise.

TL;DR: A novel K-means clustering based on Particle Swarm Optimization algorithm and compares it with Genetic clustering algorithm shows that the algorithm not only avoids the local optima, but also has greater searching capability than the existing genetic clustering algorithms.

TL;DR: In this paper, a regional logistics demand forecasting model based on MLP artificial neural network (ANN) is proposed to explain the nonlinear relationship between regional economy and regional logistic demand.

TL;DR: A heuristic algorithm based on information quantity or conditional information quantity for reduction of attributes and the experimental results show that this algorithm can find the reduct of an incomplete information system.

TL;DR: This paper has proposed a new precision method to resolve multi-project resource balance and gives an application to demonstrate its effectiveness.

TL;DR: A new and simple classify rule based on intra-distance and inter-distance of fuzzy C-means (FCM) and nests ISODATA and GA to construct the GA-ISODATA in order to perform optimization computing of the FCM.

TL;DR: By using the grey correlation analaysis on the hidden units number's determination of the BP Nueral Network, this method realized the optimal of BP Nual Network, and also improve network's forecasting accuracy.

TL;DR: This paper studied dynamic modeling techniques for analyzing supply chain networks using generalized stochastic Petri nets (GSPN) and found that this method can analyze the time-based performance and operation efficiency of supply chain effectively.

TL;DR: The result indicates that the combination method of fault tree analysis and fuzzy comprehensive evaluation method makes full use of their advantages and controls their disadvantages, and is feasible to evaluate the oil.

TL;DR: A run-of-mill valuation method is given out on the base of linguistic logic which can reduce the decision deviation of selecting the numeric scale by error.

TL;DR: In this paper, a game theory of Stackelberg model is used to analyze the effect of profits division in a downstream supply chain with manufacturer as a leader, and a cooperative internal is observed gradually, which leads to a ratio of 4:6.

TL;DR: This method determines the relative weights of the checking factors by the combination weighting method, gives the relative factors values through the BARS, processes the qualitative factors and figures out the synthetical performance values and determines the order of the managers by the way of TOPSIS.

TL;DR: The effects of Atanassov's operator on the properties of reflexive, symmetric, antisymmetric, perfect antisyMMetric and transitive Intuitionistic fuzzy relations are generalized in two theorems called utility properties and equality properties.

TL;DR: Based on some extended continuous interval argument OWA(C-OWA) operator, two approaches for solving uncertain multi-attribute multi-person decision-making problems and uncertainMulti-attribute single- person decision- making problems are developed, in which the attribute weights are completely known and the attribute values are interval numbers.

TL;DR: The system of river basin water resources is viewed as a collaborating accretion network composed of many independent agents, and its complexity is studied with the complex adaptive system (CAS) theory.

TL;DR: Practical application demonstrates that the modified BP prediction model based on the MATLAB neural network toolbox can overcome the disadvantages of constringency and has fast convergence speed and good prediction accuracy.

TL;DR: This new method provided an effective tool to do archetype feedback analysis of a complex system and succeeded in analysis the "San Nong"(agriculture, rural area,farmer) problem with the method of system science.

TL;DR: The research shows that, PNN is not as good as MLP, but compare with Yang's work about PNN's classification, the classification effect of the PNN structure given by here is better and PNN still have research value.

TL;DR: An algorithm to solve the grey decision-making problem, in which the attribute values are interval grey numbers and the attribute weights unknown, and the eigenvector method is presented, which avoids the calculation of attribute weights.

TL;DR: A novel approach to fuzzy multiple objectives decision making based on vague sets is presented, where decision matrix is translated into objective-grade-membership matrix, then the vague evaluation of each alternative is obtained by computing the sets of objectives being in favor, against and neutral.

TL;DR: Simulation results show that chaos ant colony optimization is a simple and effective algorithm to solve traveling salesman problem.

TL;DR: The multi-layer weighted PCA model is built by making some refinements to traditional method based on synthesizing the merits of subjective and objective weighting methods to indicate this model could be an effective and practical way to comprehensive quantitative assessment for complex environment systems with high stability.

TL;DR: Food web robustness is selected to measure the effect of attacks on vertices, and it is found that attacks based on betweenness is more effective than degree-based attacking on most food webs.