Decision Management System Research Articles

Application of Laboratory Data Decision Management System

With the rapid development of big data information technology and the in-depth application of network technology, information management has been widely used in the management of colleges and universities. The experimental teaching mode of colleges and universities has been transformed from traditional experience teaching and computer-aided teaching to data-driven teaching mode. On the basis of the original computer laboratory management system, it extends the personalized service functions such as intelligent access control, computer management, laboratory opening and booking, experimental arrangement management, experimental equipment management, experimental data management, attendance management, system management and basic data management. By collecting, storing and analyzing relevant data, a data decision subsystem is established. Data contains a lot of valuable information, which can provide guidance for experimental teaching and teacher teaching, improve the efficiency of experimental teaching, and better serve teachers and students. The purpose of the research and analysis of this system is to solve the problems existing in the traditional management mode, through information management can effectively improve the utilization rate of experimental instruments and equipment; It can reduce the working intensity of the experimentalists and improve the management efficiency. Through research and analysis, determine the system structure including business analysis, functional analysis and data analysis. In the process of business analysis, the original business process analysis and business process optimization analysis are adopted to provide powerful data support for the management of computer experiment teaching in colleges and universities.

УПРАВЛІННЯ РОЗВИТКОМ ІНТЕЛЕКТУАЛЬНОГО КАПІТАЛУ ПІДПРИЄМСТВА З ОРІЄНТАЦІЄЮ НА ЦІЛІ, МОЖЛИВОСТІ, ЕФЕКТИВНІСТЬ ТА ІННОВАЦІЙНІСТЬ

The work is devoted to the substantiation of the system of management decisions to increase the level of development of intellectual capital of the enterprise as a whole and its individual components with a focus on goals, opportunities, efficiency and innovation. Determined following criteria for selection of measures to increase the level of development of certain types of intellectual capital of the enterprise: the size of vertical development reserves, the size of horizontal development reserves, the efficiency of investment in reproduction. Economic and statistical tools are recommended to formalize the task of forming a system of measures taking into account determined criteria. Approaches to setting thresholds for selection criteria depending on the characteristics of the internal and external environment of the enterprise, management targets are proposed. The expediency of checking the implemented measures for pareto-optimality in order to prevent the implementation of measures that will have a negative impact on the development of certain types of intellectual capital of the enterprise is revealed. The expediency of using the cost of reproduction of intellectual capital of the enterprise as an indicator of investment efficiency is substantiated. Proposed to use single-criteria optimization for the selection of specific measures on the principle of the highest cost effectiveness for their implementation. The structural and logical model of achieving the target settings of intellectual capital development management of the enterprise, which takes into account internal and external conditions, management objectives and results of performance evaluation, levels and reserves of intellectual capital development and its components, is presented in six stages. A system of standard measures to increase the level of development of certain components of the intellectual capital of the enterprise is recommended.

Подходы к нормированию обеспеченности населения объектами спорта

the relevance of the study is determined by the need to identify the number and the specific structure of sports facilities on the territory to search for approaches to the system of management decisions. A substantiated choice of the specific structure of sports facilities and their number contributes of increasing the efficiency of investment in the construction of new and reconstruction of existing sports facilities, allows more efficient use of the existing infrastructure of the public sector of physical activity and sports work. In this regard, the subject of the study is rationing as a tool for developing the infrastructure of the public sector of physical activity and sports work, the goal is to improve the methodology for rationing the number of sports facilities and their species structure in a certain territory., The methods of theoretical comparison, qualitative and quantitative analysis, forecasting, modeling were used. The results of the study can be used by regional and municipal authorities for the development of the public sector of physical activity and sports work of the economy, aimed at meeting the needs of the population in physical activity and health services. The novelty of the scientific results lies in the development of a new approach to the regulation of the provision of the population with sports facilities, taking into account the subjective criteria of the territory. Thus, the results will allow using the accumulated knowledge to solve complex problems of developing the infrastructure of the public sector of physical activity and sports work

Integrated environmental policy instruments driven river water pollution management decision system

Market-based approaches and command and control regulations are the two main tools that policy/decision makers use to implement environmental protection goals; however, these alone have proven to be somewhat ineffective or counterproductive in some cases. Therefore, this study proposes a hybrid environmental policy tool to guide river basin environmental management decisions. The river basin authority and regional Environmental Protection Agency (EPA), as the two leading decision makers, and policy makers and implementers of river basin management, make decisions sequentially in a process similar to a Stackelberg game. This decision making can be mathematically represented using a bi-level optimization model. The proposed model addressed the conflicting equitable resource allocation and economic efficiency objectives to achieve coordinated development of the whole river basin. To verify the model effectiveness, the most considerable pollutant emissions limits and water quality standards were set, and incentive measures (pollution chargers and subsidies) were applied to assess these hybrid instruments' impact on the decision outcomes. The results from a Minjiang river basin case further illustrated that the trade-off between social equity and cost-efficient environmental goals could efficiently achieve, proving that a combination of instruments could be influential in pollution decision-making and delivery of environmental policy. Given the model's proven effectiveness, several proposals are given for solving complex pollution problems that also need to consider the related socioeconomic issues.

Сreation of a Model of Indicative Planning

Purpose: this article is devoted to the study of issues and the creation of proposals for the formation of a model of indicative planning in the Russian Federation.Methods: the study is based on system analysis methodology. Program and strategic documents of the Russian Federation and modern scientific publications on the topic of research were used as materials for the work.Results: the author analyzed modern ideas about indicative planning and identified the problems of the lack of a systematic scientific and methodological approach in this area. Modern scientific literature does not have a single opinion on the theoretical and methodological provisions of indicative planning. Based on the analysis of foreign experience and Russian practice, the author presented proposals on the role and place of indicative planning in the system of strategic planning and project management documents in order to achieve the established development and security goals. On this basis, proposals are formulated for the formation of a domestic model of indicative planning. It was noted that the popular tools for implementing coherence, monitoring and adjusting goals through digitalization of strategic documents are part of indicative planning.Conclusions and Relevance: The approach to indicative planning is recommended as a process for the formation of a system of indicators (indicators) and the development of measures of state impact on economic processes based on indicators. In this regard, indicative planning should be considered as a combination: 1) the system of goals and objectives described by the corresponding indicators (indicators), 2) the system of measures aimed at achieving these indicators. This measure system also includes an indicative planning tool.As a toolkit, an approach is proposed that determines the conjugation of the two indicated blocks of indicative planning:architecture, which includes rules for building the system and structured on the basis of goals, objectives, indicators;tools that include balance calculations and mathematical modeling, as well as implementing on the basis of indicators the task of resource determination of goals for the development of a system of measures and management decisions.

Особливості державної політики регулювання медичних послуг в Україні

У статті досліджено теоретичні та практичні основи державної політики щодо регулювання медичних послуг в Україні, що потребує підвищення рівня надання зазначених послуг та більш прозорої діяльності з надання таких послуг в умовах тривалого реформування в нашій країні. Авторами висвітлені особливості державного регулювання ринку медичних послуг, котрий перебуває у стані тривалого розвитку, котрий потребує жорсткого законодавчого регулювання для подальшого ефективного розвитку. Відзначено існування національних особливостей публічно-правового регулювання ринку медичних послуг в різних країнах, представлені практично діаметрально протилежними підходами і принципами. Здійснено аналіз державної політики України в галузі охорони здоров’я в якості організаційної та нормативної системи владних дій та управлінських рішень й основного регулятора здоров’я громадян. У статті сформульовано визначення державної політики регулювання медичних послуг з урахуванням специфіки медичної системи, окреслено проблеми в сфері організації ефективного державного регулювання медичних послуг та їх стандартизації, надані окремі рекомендації для створення ефективних механізмів державного впливу на ринок медичних послуг.

Building a tool model for the study of the ecosystem “Coronavirus – vector – human - environment”

Massive contagious diseases (epidemics, pandemics) that quickly spread over large areas and can migrate from one country to another have been studied by such scientists as E. Johnner (1796), P. Louis (1879), I. Mechnikov (1883) and others. I. Mechnikov the immunity to infectious diseases associated with innate and acquired immunity. In turn, both innate and acquired immunity can be natural, if immunity is acquired as a result of a disease, or artificially acquired as a result of preventive vaccinations or the administration of artificial sera. In early 2020, the World Health Organization announced a pandemic of a new coronavirus infection due to its rapid spread in 170 countries. A person can be infected with coronavirus through different biological media, but first of all it is a respiratory disease. Coronavirus CoVID19 is a further mutation of the virus strain–SARS-pneumonia, also known as SARS-CoV-2. COVID19 contains 16 unstructured and structured proteins and has a large genome. Two models of solving the problem with COVID19, adopted in different countries, are considered: the first is complete self-isolation; the second is partial isolation of people with compromised immune systems. A graphic chart of the state and transition model of the Virus Source, Viral Vector, Recipient and Environment (CoV-E-V-P) system was constructed and analyzed. The change in human health state under the influence of the element parameters of the system is researched. The functional structure of the information model for monitoring and decision management system CoV-E-V-P is designed.

Strategic approaches to the formation of professional image of specialists in the conditions of implementation of the model of water transport companies development

Strategic approaches to the professional image formation of water transport professionals should be considered using a defined model of economic development for water transport companies, followed by a description of the recommended measures. The algorithm of transport company development model, as a rule, has its economic sectoral features where the company operates. However, in this approach, important elements of the participation of human resources in the implementation of the company development strategy, which, in particular, suggest possible variations of combinations of managerial decisions. Thus, the transport industry is no exception. The authors of the article propose the procedure and main stages in the strategy development for the professional image formation in terms of introduction of the model of water transport companies development, and introduce new definition of the concept "strategic role of professional image in the model of water transport companies development " and use it as a tool for internal analysis of transport company as a significant complement to the definition of the term "transport company development strategy". The existing experience of research on the problems of professional image influence on the final results of activity in the maritime industry companies taking into account differences of transport services are considered in the article. It is clarified that the analysis of the market in which the transport company operates is determined by the definition of the company's field of activity, research of competitors in this field, strategic assets and strategic competence. Considering that the strategy of transport company development is the mutualism of the main goals of the company and the system of management decisions, the authors of the research have identified the main stages of strategic analysis of the transport company activity, the main ways and requirements for the acquisition of strategic competence.

Practice of prescription review mode based on data mining in hospital.

Our study aims to solve the problems caused by the large numbers of prescriptions and insufficient pharmacists in the hospital by using a prescription review model based on data mining. A hospital pharmacy management analysis and decision system was established based on the data of the hospital information system, requirement of pharmacy management and data mining technology. Based on application of this information system, a four-step data mining prescription review model was created and put into practice, which included presentation of model for prescription evaluation, instance problem model, full-scale extraction of problem prescriptions tracking correction and dynamic monitoring of changes in drug dosage distribution for proposing new problem model. Through the application of this model, the problems caused by overdosage, over-treatment, the combined use of drugs with the same curative effect, and non-indication use of antibacterial drugs in our hospital's prescription reviews were almost solved. The unreasonable rate of prescriptions has remained below 0.05% since 2015, and the unreasonable rate of doctor's orders has been controlled below 0.24%. The proportion of medicines dropped from 45.4% to 28.2%. The proportion of adjuvant drugs used decreased from 21% to 1.6%. This data mining prescription evaluation model is an efficient prescription quality management tool suitable for implementation in the digital, big data era.

A Decision Method for Construction Safety Risk Management Based on Ontology and Improved CBR: Example of a Subway Project.

Early decision-making and the prevention of construction safety risks are very important for the safety, quality, and cost of construction projects. In the field of construction safety risk management, in the face of a loose, chaotic, and huge information environments, how to design an efficient construction safety risk management decision support method has long been the focus of academic research. An effective approach to safety management is to structuralize safety risk knowledge, then identify and reuse it, and establish a scientific and systematic construction safety risk management decision system. Based on ontology and improved case-based reasoning (CBR) methods, this paper proposes a decision-making approach for construction safety risk management in which the reasoning process is improved by integrating a similarity algorithm and correlation algorithm. Compared to the traditional CBR approach in which only the similarity of information is considered, this method can avoid missing important correlated information by making inferences from multiple sources of information. Finally, the method is applied to the safety risks of subway construction for verification to show that the method is effective and easy to implement.

Improving Sustainable Mobility through Modal Rewarding: The GOOD_GO Smart Platform

Private car mobility registers today a high accident rate and around 70% of the overall CO2 emissions from transport were generated by road mode split (European Commission, 2016). Moreover, in urban areas they occur 38% of the overall fatalities from road transport, and 23% of the overall CO2 emissions (European Commission, 2013). As a result, a modal shift of at least a part of passenger transport in urban areas, from private car to sustainable transport systems is desirable. This research aims to promote sustainable mobility through two mutually reinforcing "main actions": firstly, there is a rewarding Open-Source platform, named as GOOD_GO; secondly, there is the SW/HW system connecting to the wide world of private and/or shared bicycles. Through the GOOD_GO platform Web portal and App, a user enters a so called 'social rewarding game' thought to incentive sustainable mobility habits, and gets access to the second item consisting of a system to disincentive bike-theft and based on the passive RFID technology. The low-cost deterrent bike-theft and bike monitoring/tracking system is functional to bring a big number of citizens inside the rewarding game. In 2018, a pilot test has implemented in the city of Livorno (Tuscany, It), and it involved around 1,000 citizens. Results were quite encouraging and today, the cities of Livorno, Pisa and Bolzano will enlarge the incentive system both to home-to-school and home-to-work mobility. The Good_Go platform is an actual M-a-a-S (Mobility-as-a-Service) application, and it becoming a Mobility Management decision system support, jointly with the opportunity of organizing more incentive tenders and rewarding systems types.

Decision model change patterns for dynamic system evolution

In the modern digital era, information systems must operate in increasingly interconnected and dynamic environments, which force them to be changeable yet consistent. Such modern information systems are usually decision- and knowledge-intensive. A recently introduced standard, the decision model and notation (DMN), has been adopted in both industry and academia as a suitable method for modelling decisions and decision rules. Noteworthy is that, despite the dynamic nature of modern knowledge-intensive systems, DMN was only studied and implemented in a static fashion, as decision schema change patterns have not received any attention so far. This paper identifies and analyses the change patterns that can occur in a DMN decision model. A change in the decision model can require the triggering of other changes in order to safeguard consistency. As such, this paper will also investigate for each change pattern which further changes should be performed to ensure model consistency. The patterns presented in this paper will not only facilitate the understanding of decision change management and within-model consistency, but can also be capitalised on for developing and implementing flexible decision management systems. To illustrate this, we present a modelling environment prototype that provides modelling support when applying the proposed change patterns.

Support of a molecular tumour board by an evidence-based decision management system for precision oncology

BackgroundReliable and reproducible interpretation of molecular aberrations constitutes a bottleneck of precision medicine. Evidence-based decision management systems may improve rational therapy recommendations. To cope with an increasing amount of complex molecular data in the clinical care of patients with cancer, we established a workflow for the interpretation of molecular analyses. MethodsA specialized physician screened results from molecular analyses for potential biomarkers, irrespective of the diagnostic modality. Best available evidence was retrieved and categorized through establishment of an in-house database and interrogation of publicly available databases. Annotated biomarkers were ranked using predefined evidence levels and subsequently discussed at a molecular tumour board (MTB), which generated treatment recommendations. Subsequent translation into patient treatment and clinical outcomes were followed up. ResultsOne hundred patients were discussed in the MTB between January 2016 and May 2017. Molecular data were obtained for 70 of 100 patients (50 whole exome/RNA sequencing, 18 panel sequencing, 2 immunohistochemistry (IHC)/microsatellite instability analysis). The MTB generated a median of two treatment recommendations each for 63 patients. Thirty-nine patients were treated: 6 partial responses and 12 stable diseases were achieved as best responses. Genetic counselling for germline events was recommended for seven patients. ConclusionThe development of an evidence-based workflow allowed for the clinical interpretation of complex molecular data and facilitated the translation of personalized treatment strategies into routine clinical care. The high number of treatment recommendations in patients with comprehensive genomic data and promising responses in patients treated with combination therapy warrant larger clinical studies.

Современная проблема младенческой смертности в Российской Федерации, комплексный подход к снижению на примере Республики Ингушетия

Infant mortality is an important indicator of the social well-being of society and reflects the state of the national health system as a whole. According to official statistics, the infant mortality rate in the Russian Federation has reached a significant decrease in recent years, but in comparison with the leading countries of the world it still remains high. The study found that in the Russian Federation infant mortality has a territorial differentiation, which indicates different policies of the executive authorities of the regions in the direction related to the reduction of infant mortality. The review article contains data on the dynamics of infant mortality in the Republic of Ingushetia and other republics of the North Caucasus Federal District. A significant decrease in the infant mortality rate in the Republic of Ingushetia is shown as a result of the effective interaction of state authorities at all levels. The need for an integrated approach in the system of management decisions for the development of the perinatal service in the regions of the Russian Federation has been proved.

Interval Type-2 Intuitionistic Fuzzy Logic System for Forecasting the Electricity Load

A study on load forecasting prediction is important for efficient management of users' demands for any utility such as electricity and gas. Many computational intelligence approaches have been adopted for short term electricity load forecasts. For instance, artificial neural network, traditional fuzzy neural networks, support vector machines and other intelligent methods have been adopted in the literature. It is well known that load forecast is an important input for management decision systems in every power supply organization. Fuzzy logic systems (type-1 and type-2) have proven to be one of the effective tools for many load forecasting problems. In this study, interval type-2 intuitionistic fuzzy logic system equipped with membership functions, non-membership functions and hesitation indices is proposed for very short and short-term load forecasting for the first time. Gradient descent method is used to optimize the parameters of the developed model. The proposed model is compared with the traditional interval type-2 fuzzy logic and traditional neural network systems. Experimental analyses reveal that the proposed model outperform the two traditional systems in many load instances.

Information support system for management decisions in the agricultural sector

There is a need in modern agriculture to automate many processes, including automation of taking decision or the providing of current information for taking decisions by responsible person. The aim of the project is to automate the control of the growth of crops or livestock with the help of various devices, such as sensors of various types, analyzing the microclimate of the site according to such characteristics as humidity, air temperature, ground, RFID - tags, GPS - module for analyzing the location of livestock on the farm and intelligent information system that processes the data coming from sensors. The emergence of smart agriculture (Internet of things in agriculture) will facilitate taking decision for owners and responsible persons. Decision making is also facilitated by the quality interface of the information system, which includes the characteristics of data from all types of devices. An additional factor complicating making decision is the ambiguity of the data, which in turn leads to some conflicts. A Petri nets-based model can be used to model and analyse risks. Analysing the model using Petri nets, it can be argued that it is a powerful modelling tool and can be useful in the agricultural sector for selecting the best element from the set, or modelling of data flows.

Reflecting upon PAS

By now, the PAS design decision method is familiar and it is known that: 1 The Preference-Based Design procedure could be adapted and implemented into an accommodation strategy formation project so that it can be used at real estate portfolio level in CRE alignment process (see chapter 4); 2 The stakeholders were able to perform all PAS design decision steps and accepted the outcome (see chapter 5 and 6); 3 The facilitator and the systems engineers were able to represent the pilots in mathematical decision models (see chapter 7), and; 4 The stakeholders evaluated PAS design decision method positively (see chapter 8). In paragraph 9.1 it is shown that the PAS design decision method can be used as add-on to current CRE alignment management models. However, using the PAS method as add-on in these models creates managerial and methodical difficulties. The structure of these models is often not congruent with the structure of the PAS method (see chapter 2). An add-on of the PAS method in an alignment model does not fit well. To avoid these difficulties in the pilot studies a specific CRE alignment management system is set up which is congruent with the PAS design decision system: the PAS design decision management system. The PAS design decision method has been structured from a decision making perspective around Kickert’s three rationalities (components) (in De Leeuw, 2002). To complete PAS, PAS is described solely as design method in paragraph 9.2. In paragraph 9.3 the PAS management system is structured from a systems’ management perspective. From this perspective the three components can be described from the organizations’ point of view as well as the CRE manager and facilitator that executes PAS. Management as such is seen as steering in this thesis as is explained in chapter 3. PAS management system is defined based on a systems perspective as following the chosen basic concepts and definitions as explained in paragraph 3.1.14 and 3.1.15.

COMPLEX ASSESSMENT OF SANITARY AND HYGIENIC WELFARE IN EDUCATIONAL ORGANIZATIONS WITH A HEALTH SAVING POSITION

Introduction. The deterioration in the health of children and adolescents in the dynamics of education in general education organizations dictates the need to minimize the risk factors for the development of school-related diseases based on the development of a methodology for calculating the level of hygienic well-being of these organizations, taking into account existing health care opportunities (preserving and improving the health of students). The purpose of the study is to develop a comprehensive indicator for assessing the sanitary and hygienic well-being of educational institutions from the standpoint of health and safety. Material and methods. The methodology for the integrated assessment of the educational environment includes: a) defining a list of the most significant hygienic indicators from the standpoint of health preservation; b) an assessment of the weight of each of them; c) the development of a comprehensive indicator of sanitary and epidemiological well-being, combining individual indicators into one with its translation into a qualitative assessment. Results. Based on the materials of the research, a rationale for a comprehensive assessment of sanitary and hygienic well-being in educational organizations from the standpoint of health care has been proposed, that is, a technique is proposed, the use of which will help determine the full use of opportunities for maintaining and improving health in an educational organization. Discussion. Developed as a result of the conducted research, the algorithm for constructing a comprehensive indicator for assessing sanitary and hygienic well-being allows objectively characterizing the conditions and modes of education in educational institutions from the standpoint of health and safety, determining the risk factors of the educational environment and predicting the likelihood of school-related diseases. The construction of a complex indicator is proposed to be used as an additional assessment of the educational organization’s capacity to preserve the health of students in the dynamics of learning. Conclusion. The proposed model of an integrated assessment of the educational environment, which is based on quantitative (scoring) and qualitative assessments, identifying the resources for maintaining and promoting health in general education organizations, determines: risk factors of the educational environment; definition and prediction of the probability of changes in the students’ health status (positive and negative); justification of the system of management decisions to minimize risk factors and prevent violations in students’ health.

ДЕТЕРМІНАНТИ ЗАБЕЗПЕЧЕННЯ КОНКУРЕНТОСПРОМОЖНОСТІ ПІДПРИЄМСТВ ЗАЛІЗНИЧНОГО ТРАНСПОРТУ

At present, most business entities are forced to actively fight in the market to ensure effective functioning. In order to survive in the market, companies have to maintain their own competitiveness and maintain it at a high level with respect to other market participants. At present, most business entities are forced to actively fight in the market to ensure effective functioning. In order to survive in the market, companies have to maintain their own competitiveness and maintain it at a high level with respect to other market participants. The basis of effective competitive development of railway enterprises is financial and economic stability, for which it is necessary to change the development benchmarks of the industry. In particular, to introduce a new management decision-making system, which will be based on a change in decision-making in the implementation of major financial transactions at the level of JSC "Ukrzaliznytsya", namely in procurement, capital investments, repairs and other types of work. It is clear that such an approach at the country level will allow to select and implement those directions of effective development of railway transport that will contribute to ensuring the competitiveness of the enterprises of the branch. However, at the regional level, railway undertakings may lose their capacity if they are unable to communicate in a timely manner to their chief executive office their problems and needs. Rail is the cornerstone of the country's transport system. Its main advantage is the versatility, regularity of transportation throughout the year, considerable capacity and other factors. However, the construction and maintenance of the railway network requires considerable financial, labor and material resources. And the decrease in the level of social production, the change of economic orientations of the national economy, together with the inflationary processes have led to a significant decrease in the indicators of the effective functioning of the industry. Therefore, railway undertakings are forced to find solutions to their economic problems on their own. Thus, an important condition for securing the competitive position of railway undertakings is the formation of new and maintaining existing competitive positions in the market of transport services, which depends on many components of the competitive forces, the main of which is the formation of an effective and efficient domestic production, transport and logistics system. This will help to identify the areas of competitive development of railway transport enterprises, increase their competitiveness in the internal and external market of transport services, consolidate their competitive position, etc.

Research on image quality in decision management system and information system framework

With the continuous development of society and the rapid advancement of science and technology, all walks of life are increasingly required to effectively manage their projects or affairs. Decision-making is the basis of project management, and the formation of decisions determines the formulation of corresponding programs, organizations and businesses. Decision-making is generated by decision makers based on the multi-faceted information they have, so decision management systems and information systems are inseparable in the management of projects and transactions. At present, research on decision management systems emphasizes management and decisions, and few researchers combine decision management and related information. In view of the current research deficiencies, and taking into account the needs of various industries for image applications, this paper introduces image quality evaluation methods, and systematically studies the decision management system and information system framework. The experiment part takes the intelligent image recognition and prevention system of citrus pests and diseases as an example, and the role of image quality in decision management system and information system from the perspective of practice. The results show that through the image quality evaluation system, in the identification and prevention of citrus pests and diseases, it can combine various aspects of information to make effective prevention and control decisions. The results show that the introduction of image quality evaluation can improve the comprehensiveness of information system. On this basis, decision-making system can help decision makers make correct decisions quickly and effectively.