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SMCE (Spatial Multi-criteria Evaluation, SMCE), is a multi-criteria decision making model within a variety of geospatial information. In urban construction and planning, many decision-making problems are multi-criteria spatial decision problems, such as the location of urban public facilities, the location of the urban residential area. Using the SMCE model and GIS technology, this paper proposes...
This paper studies earnings restatements' value relevence of Chinese listed companies with the price model and returns model, using earnings restatements announcement listed companies from 1999 to 2009 as the samples. The results show that earnings restatements aren't value relevent in Chinese capital market. Market's reliance on earnings restatements information is minimal, and restatements can't...
The integration of external and internal knowledge by means of absorptive capacity is a major source for an organization to enhance its competitive advantages. The previous researches pay too much attention to the absorbing process of useful knowledge from the perspective of organizational learning, but comparatively less attention is paid to some aspects like loss process of knowledge, invasion of...
The project risk assessment is an important basis for construction enterprises to select the bidding project and make decisions during the bidding phase. In this paper, based on the thoughts of idealization and the combination of objective and subjective ideals, the project risk assessment model of Rough set-TOPSIS is proposed. Firstly, adopting Rough set theory, the objective weight of each index...
As the next generation GIS technology, GIS Web service is able to effectively cope with several problems of traditional GIS applications, such as hard to update old systems, lacking of good interoperability and hard to integrate with other systems, etc. This paper studied how to construct a spatial decision support system (SDSS) for precision farming based on GIS Web service. Main components of the...
We consider a novel problem of top-k query processing under budget constraints. We provide both a framework and a set of algorithms to address this problem. Existing algorithms for top-k processing are budget-oblivious, i.e., they do not take budget constraints into account when making scheduling decisions, but focus on the performance to compute the final top-k results. Under budget constraints,...
The customer-centered transformation is taking place among China's power supply enterprises, which are changing towards service-oriented type. And for this type of enterprises, service recovery is inevitable. However, there hasn't been such research into the effect or evaluation of this service recovery, neither theoretically nor applicative. In this paper, the index system of supply enterprise's...
Condition information is the important indicator of the equipment healthy management. In order to embody the condition information in the traditional age replacement model, age replacement availability model based condition information is established in the long run. Finally an example is used to demonstrate the relation between condition information and the replacement interval. The application result...
Current evaluation study on demand side management (DSM) is limited to the cost-benefit analysis, which is not enough for improvement of the integrated decision-making on DSM. This paper puts forward a DEA method to measure the relative efficiencies of DSM implementation in different electricity distribution districts, constructs the input and output factors according to the long-term mechanisms and...
Under the uncertain demand and variable environment, we studied the enterprises' dynamic decision problem on price strategies in duopolistic retailing market. In the game, two enterprises simultaneously choose their strategic variable in each period to maximize their expect revenue. We use Markov decision processes to build up the model and resolve it, and design two kinds of reinforcement learning...
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