摘要：In this study, a novel hybrid intelligent mining system integrating rough sets theory and support vector machines is developed to extract efficiently association rules from original information table for credit risk evaluation and analysis. In the proposed hybrid intelligent system, support vector machines are used as a tool to extract typical features and filter its noise, which are different from the previous studies where rough sets were only used as a preprocessor for support vector machines. Such an approach could reduce the information table and generate the final knowledge from the reduced information table by rough sets. Therefore, the proposed hybrid intelligent system overcomes the difficulty of extracting rules from a trained support vector machine classifier and possesses the robustness which is lacking for rough-set-based approaches. In addition, the effectiveness of the proposed hybrid intelligent system is illustrated with two real-world credit datasets.

摘要：Empowering the value realization of ecological products with a digital economy is an important path for achieving the transformation of“two mountains”and the construction of ecological *** on the panel data of 30 provinces in China from 2011 to 2022,a fixed-effects model was used to empirically test the impact,heterogeneity and mechanism of the effects of the digital economy on the value realization of ecological *** analysis revealed three key findings.(1)The digital economy has a significant driving effect on improving the ability to realize the value of ecological products,and this effect is still applicable in a variety of robustness tests such as shrinking the years,replacing explanatory variables,and endogeneity tests.(2)The rise of the digital economy affects the value realization of ecological products to different degrees in different regions,especially in the eastern region,while the effect in the central region is not obvious.(3)The analysis of mechanistic variables indicated that the digital economy has an impact on the value realization of ecological products through the development of green finance and government ***,the government should design differentiated and multi-level support policies for the realization of ecological product value according to the heterogeneity of natural resources,ecological potential and the levels of digital economy development in different regions,and it should strengthen the control of non-environmental protection behaviors of the *** should accelerate the digital transformation of the entire production,distribution,circulation and consumption chain of ecological products,and actively develop financial products and services that meet the characteristics and needs of ecological products.

摘要：To study the effect of cooperative advertising on the supply chain of deteriorating items, this paper establishes a Stackelberg game model for a two-echelon deteriorating items supply chain composed of one manufacturer and one retailer under a given support program with an exogenous participation rate. The manufacturer as the leader determines the wholesale price and production rate, and the retailer as the follower determines the retail price and advertising strategies. The strategies of the players under the decentralized scenario and the centralized scenario are respectively characterized. Numerical simulations and sensitivity analysis are conducted to gain some managerial insights. It is shown that the pricing, advertising and production strategies are negatively correlated to deteriorating coefficient, and both the profit and the channel efficiency decrease with deteriorating coefficient; The interaction between price, advertising investment and production rate results in a higher retail price of the centralized channel compared to that of the decentralized channel; Implementing the cooperative advertising program does improve the performance of the supply chain in some cases and the participation rate roughly at 0.5 is most preferable, but it is also possible to distort incentive and damage the channel performance when the participation rate reaches a relatively high level.

摘要：The government subsidy plays an important role in the recycling and remanufacturing process of a closed-loop supply *** paper focuses on the impacts of different patterns of government subsidy on the chain members'profits and the ***,we develop three models in a supply chain including a manufacturer,a retailer and a collector,namely(1)the government invests public service advertisement to stimulate the remanufacturing process(Model AS);(2)the government offers only monetary subsidy to the collector(Model MS);(3)the government allocates the subsidy into two parts,namely both advertisement and monetary subsidy(Model HS).We find that,no matter which subsidy pattern the government adopts,both the manufacturer and the collector are beneficiaries of the government subsidy,and that such subsidizing activity is definitely conducive to the environmental *** into account the chain members,profits and the environmental impact,the optimal hybrid subsidy scheme(Model HS)is more beneficial than that in both Model MS and Model AS,which can be attributed to the combination of the incentives provided by the public service advertisement and the price attraction by the monetary *** also find that,for single advertisement and monetary subsidy,the amount of government subsidy will decide their merits and *** direct monetary subsidy in Model MS will have a greater influence regarding to the supply quantity of used products than the mere advertisement subsidy in Model AS when the subsidy is relatively large.

摘要：Minimizing the impact of the mixed uncertainties(i.e.,the aleatory uncertainty and the epistemic uncertainty) for a complex product of compliant mechanism(CPCM) quality improvement signifies a fascinating research topic to enhance the ***, most of the existing works in the CPCM robust design optimization neglect the mixed uncertainties, which might result in an unstable design or even an infeasible design. To solve this issue, a response surface methodology-based hybrid robust design optimization(RSM-based HRDO) approach is proposed to improve the robustness of the quality characteristic for the CPCM via considering the mixed uncertainties in the robust design optimization. A bridge-type amplification mechanism is used to manifest the effectiveness of the proposed approach. The comparison results prove that the proposed approach can not only keep its superiority in the robustness, but also provide a robust scheme for optimizing the design parameters.

摘要：The decisions concerning portfolio selection for army engineering and manufacturing development projects determine the benefit of those projects to the country *** are typically selected based on ex ante estimates of future return values,which are usually difficult to specify or only generated after project launch.A scenario-based approach is presented here to address the problem of selecting a project portfolio under incomplete scenario information and interdependency *** the first stage,the relevant dominance concepts of scenario analysis are studied to handle the incomplete ***,a scenario-based programming approach is proposed to handle the interdependencies to obtain the projects,whose return values are multi-criteria with interval ***,an illustrative example of army engineering and manufacturing development shows the feasibility and advantages of the scenario-based multi-objective programming approach.

摘要：The availability equivalence of different designs for a repairable multi-state series-parallel system(RMSPS) is discussed in this *** system components are assumed to be independent,and their failure and repair rates to be *** system availability is defined as the ability of the system to satisfy consumer *** improvement method and standby redundancy method are used to improve the system *** evaluate availability of the both original and improved systems,a fast technique,based on universal generating function,is *** availability equivalence factor is introduced to compare different system *** types of availability equivalence factors of the system are derived.A numerical example is provided to illustrate how to utilize the obtained results.

摘要：Industrial development can enrich people＇s lives, but it also causes environmental pollution, which is an area of significant concern among governments, consumers, and companies. Governments formulate some environmental policies, which motivate industry by providing greater incentives for green product development. Consumers are classified into two groups - ordinary and green market segments - according to their environmental awareness and attitudes. In this regard, companies need to reconsider their primary product design strategies. By investigating the interactions among customers＇ preferences, firms＇ product strategies, and government subsidy policies, this paper presents a theoretical model for new product design strategies. After detailed theoretical analysis of such strategies, we found that to motivate firms to choose environmentally friendly product design strategies, governments should inaugurate effective subsidy policies. After simultaneously considering environmental issues and firms＇ benefits, we designed a subsidy policy. With such a policy, firms can change their primary product design strategies and develop both green and ordinary products, thereby increasing the firms＇ profits and improving the total environmental quality.

摘要：This paper deals with a bi-extrapolated subgradient projection algorithm by intro- ducing two extrapolated factors in the iterative step to solve the multiple-sets split feasibility problem. The strategy is intend to improve the convergence. And its convergence is proved un- der some suitable conditions. Numerical results illustrate that the bi-extrapolated subgradient projection algorithm converges more quickly than the existing algorithms.

摘要：We propose a new consensus model for group decision making(GDM) problems, using an interval type-2 fuzzy environment. In our model, experts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzy sets(IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness in real-life situations. Consensus and proximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-making process. The majority of previous studies have taken into account only the importance of the experts in the aggregation process, which may give unreasonable results. Thus, we propose a new feedback mechanism that generates different advice strategies for experts according to their levels of importance. In general, experts with a lower level of importance require a larger number of suggestions to change their initial preferences. Finally, we investigate a numerical example and execute comparable models and ours, to demonstrate the performance of our proposed model. The results indicate that the proposed model provides greater insight into the GDM process.