scholarly journals A Priority in Land Supply for Sustainable Transportation of Chinese Cities: An Empirical Study from Perception, Discrimination, Linkage to Decision

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 78
Author(s):  
Ke Wang ◽  
Jianjun Zhang ◽  
Di Zhang ◽  
Xia Wu
Keyword(s):  
Economic Development ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Sustainable Use ◽  
Ecological Condition ◽  
Sustainable Transportation ◽  
Transportation Infrastructure ◽  
Land Supply

With the rapid development of China’s economy, alleviating the shortage of land resources has become a significant challenge. Transportation infrastructure is a channel connecting cities, which carries the flow of population and material circulation. The efficient allocation of land used for transportation is closely related to production and life. By investigating the main factors affecting the priority of the supply of land used for transportation, this paper evaluates the transportation condition of all cities in China from five aspects: dominance, dependence, coordination, accessibility, and land demand for transportation. Furthermore, this paper constructs a multi-objective decision support system for land supply, which aims to find out which cities are in urgent need of the supply of land for transportation and what types of transportation infrastructure need to be focused on. The results of this paper show that most of the cities with high land supply priority are non-provincial capital cities and are important growth poles of regional economic development. The construction of a comprehensive transportation system is the short-term goal of these cities. Most cities with low land supply priority are sparsely populated, in good ecological condition, and far away from the core areas of economic development. The preferred transportation mode of these cities is generally land transportation. The main contribution of this paper is to provide a comprehensive decision support system for the land management department to determine land supply priorities and achieve the sustainable use of land.

A computerized decision support system (CDSS) for antibiotic prescription in primary care—Antibioclic: implementation, adoption and sustainable use in the era of extended antimicrobial resistance

2020 ◽  
Author(s):  
Tristan Delory ◽  
Pauline Jeanmougin ◽  
Sylvie Lariven ◽  
Jean-Pierre Aubert ◽  
Nathan Peiffer-Smadja ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Antibiotic Prescription ◽  
Sustainable Use ◽  
Acute Otitis Media ◽  
Community Acquired Pneumonia ◽  
Computerized Decision Support ◽  
Cross Sectional

Abstract Objectives To describe the implementation and use of a computerized decision support system (CDSS) for antibiotic prescription in primary care in France (Antibioclic). The CDSS targets 37 infectious diseases and has been freely available on a website since 2011. Methods Description and implementation of the architecture of a CDSS for antibiotic prescription in general practice. Analysis of the queries made between 2012 and 2018 on the CDSS by GPs. Analysis of two cross-sectional studies of users in 2014 and 2019. Results The number of queries increased from a median of 796/day [IQR, 578–989] in 2012 to 11 125/day [5592–12 505] in 2018. Unique users increased from 414/day [245–494] in 2012 to 5365/day [2891–5769] in 2018. Time taken to make a query was 2 min [1.9–2.1]. Among 3 542 347 queries in 2018, 78% were for adults. Six situations accounted for ≥50% of queries: cystitis; acute otitis media; acute sinusitis; community-acquired pneumonia; sore throat; and pyelonephritis. Queries concerned pathologies for which antibiotic prescription was necessary (64%), was conditional on additional clinical steps (34%) or was not recommended (2%). Most users (81%) were GPs, with median age of 38 years [31–52] and 58% were female. Among the 4016 GPs who responded to the surveys, the vast majority (96%) reported using the CDSS during the consultation, with 24% systematically using Antibioclic to initiate an antibiotic course and 93% having followed the CDSS recommendation for the latest prescription. Most GPs were comfortable using the CDSS in front of a patient. Conclusions Antibioclic has been adopted and is widely used in primary care in France. Its interoperability could allow its adaptation and implementation in other countries.

Construction of Core Talents Decision Support System for Logistics Enterprises Based on Cloud Database

2014 ◽  
Vol 556-562 ◽  
pp. 5695-5699
Author(s):  
Ya Ning Xu
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Logistics Enterprise ◽  
The Core ◽  
Incentive Model ◽  
Cloud Database ◽  
Logistics Enterprises ◽  
Scientific Decision

With the rapid development of logistics enterprises, personnel decision management of logistics enterprise is highly valued by the relevant institutions and enterprises. How to correctly understand the core function of logistics enterprises, mining and build the core talent decision support system is one of the topics in this field to be solved. Firstly, based on the talent incentive model, we analyze the talent incentive process of logistics enterprise, and based on the characteristics of cloud database we construct personnel decision support system of logistics enterprise. In order to verify the practicality of the system, we use computer simulation to simulate the system. The results show that the system has practical strong, and ability of scientific decision-making is better.

Based on the Agent of the Intelligent Decision Support System Research

2012 ◽  
Vol 482-484 ◽  
pp. 237-240
Author(s):  
Rui Feng Wang ◽  
Peng Li
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
Agent Technology ◽  
System Research ◽  
Intelligent Decision Support System ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support

With the rapid development of Agent technology, its application field, more and more widely. In this paper, a based on the Agent of the intelligent decision support system frame, that is, in the original decision support system based on building an Agent, thus increasing the DSS of intelligent decision making level, for the future of intelligent decision support system provides a new way of thinking.

scholarly journals RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMILIHAN LAPTOP DENGAN METODE DECISION TREE

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Dedi Anggaradana
Keyword(s):  
Decision Support ◽  
Decision Tree ◽  
Decision Support System ◽  
Support System ◽  
Rapid Development ◽  
High Mobility ◽  
Interactive System ◽  
Step Method ◽  
Step Step ◽  
The Right

ABSTRACT<br />A very rapid development of technology makes the laptop seems to have not a luxury<br />anymore. Those with high mobility and frequent travel, choose the laptop as something that<br />accompanies every job they wherever they went. But not a few consumers who are hesitant and<br />confused when trying to buy a new laptop since the laptop is not cheap stuff. Moreover currently<br />popping up various types of laptops with different specs and brand, any price varies. Not<br />infrequently the consumer to buy a laptop with good specs without thinking about its usefulness.<br />For that it is necessary a decision support system for laptop malakukan selection<br />process effectively and efficiently. Decision support system is an interactive system that supports<br />the decision in the decision making process through the alternative - the alternative obtained<br />from the data processing, information and design models.<br />Making an online decision support system using the decision tree method is able to<br />resolve the election issue this laptop, with a step - step method is simple, easily understood,<br />effective and efficient. With the web-based decision support system will be the technology that not<br />only provides convenience, but able to provide solutions to an individual in choosing the right<br />laptop and also fit your needs and budget.<br />Keywords : System, Decision Support, Decision Tree<br />ABSTRAK<br />Perkembangan teknologi yang sangat pesat membuat laptop sepertinya sudah bukan<br />menjadi barang mewah lagi. Mereka yang mobilitasnya tinggi dan sering bepergian, memilih<br />laptop sebagai benda yang menemani setiap pekerjaan mereka kemanapun mereka pergi.<br />Namun tak sedikit konsumen yang bimbang dan kebingungan saat ingin membeli laptop<br />baru mengingat laptop bukanlah barang murah. Terlebih lagi saat ini bermunculan berbagai<br />jenis laptop dengan beragam spesifikasi dan merk, pun harganya bervariasi. Tak jarang pula<br />konsumen membeli laptop dengan spesifikasi yang bagus tanpa memikirkan kegunaannya.<br />Untuk itu sangat diperlukan suatu sistem pendukung keputusan untuk malakukan<br />proses pemilihan laptop secara efektif dan efisien. Sistem pendukung keputusan merupakan suatu<br />sistem interaktif yang mendukung keputusan dalam proses pengambilan keputusan melalui<br />alternatif – alternatif yang diperoleh dari hasil pengolahan data, informasi dan rancangan model.<br />Pembuatan suatu sistem pendukung keputusan secara online dengan menggunakan<br />metode decision tree mampu menyelesaikan untuk persoalan pemilihan laptop ini, dengan<br />langkah – langkah metode ini yang sederhana, mudah dipahami, efektif dan efisien. Dengan<br />adanya sistem pendukung keputusan berbasis web ini akan menjadi teknologi yang tidak hanya<br />memberikan kemudahan, namun mampu memberikan solusi kepada seseorang dalam memilih<br />laptop yang tepat dan juga sesuai dengan kebutuhan dan anggaran.<br />Kata kunci : Sistem, Pendukung Keputusan, Decision Tree

scholarly journals Using machine learning to predict the impact of agricultural factors on communities of soil microarthropods

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
Damjan Demšar ◽  
Sašo Džeroski ◽  
Paul Henning Krogh ◽  
Thomas Larsen
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Soil Fauna ◽  
Linear Equations ◽  
Sustainable Use ◽  
Individual Species ◽  
Soil Microarthropods ◽  
The Impact

With the newly arisen ecological awareness in the agriculture the sustainable use and development of the land is getting more important. With the sustainable use of soil in mind, we are developing a decision support system that helps making decisions on managing agricultural systems and is able to handle both conventional and genetically modified crops as a part of the ECOGEN project. The decision support system considers economical and agricultural factors and actions including crop selection, crop sequence, pest and weed control actions etc. For such decision support system to work, it needs modules that predict results of different agricultural actions. One of the most important factors for sustainable use and fertility of soil is soil flora and fauna. Any change of that community can influence the short or long term soil fertility and soil usability. With soil fauna being one of the most important factors we first need to model it. However, since the function of the individual species is not known, the only action we have is to try and model the community of soil fauna. We start by modelling the community soil microarthropods. For that goal we used machine learning methods - regression trees, model trees and linear equations. We identified previous crops and time since different kinds of tillage as the most important factors for the community of soil microarthropods.

Application of Multi-Dimensional Analysis Technology in Telecom Industry

2011 ◽  
Vol 219-220 ◽  
pp. 643-647
Author(s):  
Li Yong Chen ◽  
Xiu Ye Yin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Dimensional Analysis ◽  
Support System ◽  
Rapid Development ◽  
Vital Role ◽  
The World ◽  
Telecom Industry ◽  
The Right ◽  
Leading Enterprises

With the rapid development of China's telecom industry, the management of domestic enterprises are constantly changing. Operate method was closed to internationalization constantly. In this process, the technology of OLAP plays a very vital role for the development of enterprises. China's telecom industry should depend on the technology of OLAP to get an efficient decision support system to make an accurate in time efficient decision if they want to survive in the world keen competition, and then leading enterprises moving in the right direction. This paper introduced Multi-dimensional analysis technology, Illustrates the application of drilling and rotation Combined with concrete examples. Hope to provide some help for the development of enterprises, promote the rapid development of China's telecom industry through this paper.

Spatial non-timber valuation decision support systems

2000 ◽  
Vol 76 (2) ◽  
pp. 319-327 ◽  
Author(s):  
Kojo M. Akabua ◽  
Wiktor L. Adamowicz ◽  
Peter C. Boxall
Keyword(s):  
Economic Development ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Economic Value ◽  
Industrial Operations ◽  
Moose Hunting ◽  
Non Market Valuation

Decision support systems (DSS) can be useful tools for facilitating the application of complex economic models. Two examples of DSSs are used to illustrate the application of non-market valuation models that have been developed to estimate the economic value, as well as the level of participation, of recreational moose hunting in Newfoundland and Alberta. DSSs may be useful tools for foresters, biologists, tourist boards and economic development agencies to understand conflicts between industrial operations and other forest uses. Key words: non-timber valuation, decision support system, recreationists, databases.

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