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Drug addiction shares common neurobiological pathways and risk genes with other psychiatric diseases, including psychosis. One of the commonly identified risk genes associated with broad psychosis has been ZNF804A. We sought to test whether psychosis risk variants in ZNF804A increase the risk of heroin addiction by modulating neurocognitive performance and gray matter volume (GMV) in heroin addiction...
Search And Rescue (SAR) becomes important issue because of the frequent disasters on earth lately. Due to its complexity, SAR task must be pre-calculated for benefiting decision making process. SARA model, based on the military kill chain and Markov Chain, has the merit of a quick analysis with convergent result. The limit of SARA model is the lack of reliable input data from SAR database or sub-models'...
Educational administration information system plays a very a very important role in the colleges. Risk factors in the system are discussed, and framework for risk classification is built, then a risk assessment model based on the fuzzy analytic hierarchy process (AHP) is established. This model is a two-1evel indicator evaluation scheme, and the weight of the indicators of different levels is determined...
Establishing a reasonable profit distribution scheme is important for the success of VE. In view of the virtual enterprise' characteristics, such as the distribution and diversity of members, the idea of Distributed Decision-making(DDM) is applied to the profit distribution of virtual enterprise. According to the different circumstances of relationship between members and information state of virtual...
This paper systematically studies various factors of the regional risk of group events from the view of society development with integrated management theory, and an index system of comprehensive evaluation on the regional risk of group events is set up. A method of comprehensive evaluation on the regional risk of group events is designed based on Fuzzy AHP synthetic evaluation. And the practicability...
The low carbon development assessment can provide valid information to support decision making in regional sustainable development. With the support of forest carbon sinks information simulated from remote sensing data, the low carbon development assessment index framework of Fujian Province, China was constructed. After indices weighting by the fuzzy analytic hierarchy process (FAHP), the low carbon...
Given the generally low quality of Production Development schedule baseline definition, an evaluation method of project schedule risk quantification based on Monte Carlo simulation under the conditions of resource constraints is proposed. Firstly, considering the resource constraints on the progress, an activity duration sampling method under resource constraints is proposed. Secondly, to study the...
Scientific decision is normally based on the scientific data or valid information. The forest carbon sinks information of Fujian Province, China was simulated by the boreal ecosystem productivity simulator (BEPS) and validated by the field measurement sample from other researchers. Then the forest net ecosystem productivity (NEP) information was used to analyze the low carbon development situation...
For the decision making problems, weights reflect index's comparatively importance. Their values directly decide the correctness of decision making results. Weights possess fuzzy and uncertain characteristics. Meanwhile their values are confirmed by decision-makers' experiences and purposes. Usually decision makers are willing or able to provide interval information, because of lack of knowledge or...
This paper presents the autonomous control for UAV. The autonomous control concept and autonomous control level (ACL) metrics that can measure autonomy of UAVs are introduced. Compared with manned aircraft control task in battlefield, the functions of autonomous UAV system are organized. According to the laws of increasing precision with decreasing intelligent (IPDI), the architecture of autonomous...
The destructive innovation is an important way for small and medium-sized enterprises (SMEs) to survive in the fierce competition. However, there are also risks of failure in destructive innovation. The current study paid more attention to the successes of destructive innovation, but few scholars studied how to analyze its risks to help decision-makers in SMEs determine whether the destructive innovative...
In the last decade, the evolution of distributed computing has shifted from cluster computing to Grid computing. Although bidding provides a useful means of resource allocation for this novel computing paradigm, there exist two challenges to scheduling metatasks in bidding-based Grid systems. (1) The scheduling algorithm has to avert collisions between the jobs of a metatask, as well as prevent contention...
Combining the daily operations of the utilities, the latest computer technology and the professional technology of distribution network planning, a practical GIS (geographical information system) based computer decision-making support system with eight sub systems for urban power distribution network planning is introduced. The models and functions of the system are described. This system has been...
Fuzziness and randomness are two key aspects of uncertainty. During decision making process, it is a normal situation that fuzzy and random variables appear simultaneously. Fuzzy random multi-attribute decision making (FRMADM) is to select the best alternative or rank alternatives among limited feasible alternatives, under fuzzy and random conditions. Because of its wide existing in our real life,...
As cross business in the supply chain is on the increase, supplier involvement in new product development is becoming increasingly general. The selection of supplier which involved in new product development becomes one of the keys of the development management. Facing the irrationality in factors of supplier selection, the main factors of supplier selection in cooperation development is discussed...
Multi-attribute decision making (MADM) is important in many domains where fuzzy and uncertain information are involved. Usually decision makers are willing or able to provide interval information, because of lack of knowledge or data, their limited experience or time pressure. The research about fuzzy MADM under interval number has become an active branch in decision making science. After introducing...
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