Question 2: What does decision support system mean? Hello, classmate, I'm glad to answer your question!
Decision support system is an intelligent man-machine system based on management science, operational research, cybernetics and behavioral science, with computer technology, simulation technology and information technology as means, aiming at semi-structured decision-making problems and supporting decision-making activities.
The system can provide decision-makers with needed data, information and background information, help to clarify decision-making objectives and identify problems, establish or modify decision-making models, provide various alternative schemes, evaluate and optimize various schemes, analyze, compare and judge through human-computer interaction, and provide necessary support for correct decision-making. Through a series of man-machine conversations with decision makers, we can provide them with various reliable schemes and test their needs and ideas, so as to support decision-making.
Decision support system is generally composed of interactive language system, problem system, database, model base, method base and knowledge base management system. In some specific decision support systems, there may be no separate knowledge base and its management system, but model base and method base are usually necessary. Because of the different application fields and research methods, the structure of decision support system has many forms. Decision support system emphasizes the support of management decision, not the automation of decision. The decision it supports can be at any management level, such as strategic, tactical or executive level.
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Question 3: What is the function of decision support system? 1. Organize and provide all kinds of data related to this decision-making problem in time. 2. Collect, store and provide all kinds of data related to this decision-making problem as far as possible outside the system. 3. Timely collect and provide feedback information of various actions, including system-related data in the system. 4. Be able to store various models related to decision-making problems studied in a certain way. 5. Be able to store and provide commonly used mathematical methods.
Question 4: What is a decision support system? Decision support system often refers to BI business intelligence system, and the data charts and tables obtained through analysis are the best support for decision-making. I only know finebi, which is relatively mature in China.
Question 5: What is the difference between an intelligent decision support system and a decision support system? Decision support system emphasizes the support of management decision, not the automation of decision. The decision it supports can be at any management level, such as strategic, tactical or executive level. It should be more appropriate to regard business intelligence as a solution. The key of business intelligence is to extract useful data from many data from different enterprise operating systems and clean them to ensure the correctness of the data, and then merge them into an enterprise-level data warehouse through extraction, transformation and loading, that is, ETL process, so as to get a global view of enterprise data. On this basis, the appropriate query analysis tools, data mining tools, OLAP tools and so on are used for analysis and processing. (At this time, information becomes knowledge for decision-making). Finally, the knowledge is presented to managers to provide data support for their decision-making process.
Question 6: What's the difference between a management information system and a decision support system? These concepts are actually a bit confusing in many books. Strictly speaking, the situation is this:
Management information system is a general concept. Decision support system, manager information system and enterprise resource planning system all belong to the concept of management information system. (For example, cars, off-road vehicles and trucks all belong to the concept of car happiness. )
Decision support system provides decision-making information for management, and there are many quantitative analysis models in the software to analyze and process business information, thus obtaining various comprehensive information that can assist decision-making.
As can be seen from the name, the manager information system is a software system that analyzes, processes and feeds back the information that managers need.
Enterprise resource planning system is a typical comprehensive management information system, which usually includes various subsystems such as decision support system.
Question 7: What are the main targets of decision support system? The English full name of decision DSS is decision support system, and the Chinese translation is decision support system.
Decision support system is based on data warehouse, and provides all-round decision support for enterprises by mining their historical data. It is driven by data, model, knowledge, network, simulation, GIS and communication.
In today's world, people are facing more and more massive data and information. Faced with increasingly fierce challenges and more opportunities, people who want to succeed must be able to make a lot of timely and accurate decisions at lower cost and faster speed. In the face of such a world situation, if an organization or enterprise wants to be dynamic and obtain rich benefits, it must empower more people in an organized way; Provide them with accurate data and information in time; And let them use more handy tools, in line with the decision maker's logical thinking and his leading role, to make correct decisions. The information technology department of every unit will face such a demand. This is to establish the so-called "business intelligence system" (BIS for short). Imagine the difference between the BIS needed here and the MIS you established in the past, or between CIMS and MRPⅱII II. Your original system must be: * You used a program written according to predefined tasks to perform some computer jobs; * It is characterized by running a large number of business processes in a relatively small scope, which is actually the requirement of the original system analysis and design. When designing a database, several redundant but relatively simple database tables must be formed according to the E-R relation. * The system usually always adds data to it. -BIS, the business intelligence system to be established now has different requirements: * The system to be established can respond to tasks or queries that have not been put forward before, and these problems may need to be explored and analyzed, and its complex conclusions should be fully demonstrated; * Its characteristics are: there are not many possible questions, but they cover a wide range; * The requirement here is to let you use the existing data to provide new information. You might say this has happened before. Yes, the business intelligence system BIS does have its development history. In the early decision support system, system analysis, data structure design and program design are generally the same as other systems. The established system well meets the original demand of decision support. Such a system is very "functional" and sometimes requires users to have high technical level or skills. Since then, driven by the demand for more flexible and convenient decision support, software products such as spreadsheets have emerged. These products obviously avoid the weakness of being too "functional" mentioned earlier. These spreadsheets are often simple, easy to learn and use, and suitable for popularization and application. It can meet the requirements of a wide range of fields to a certain extent. Another development is the emergence of EIS tools. "Environmental information system" is usually designed to meet the decision support needs of administrative organs or departments. Although EIS often provides tools that are easy to develop (such as object-oriented development technology), the developed functions also have friendly interfaces and are easy to use. But it is still limited by functionalization. It is not easy for a well-developed EIS to keep up with the changes of users' needs. What we are required to do now is to adapt to the ever-changing dynamic environment of market economy, and the tools we use must also break through the above limitations: to enable decision makers to comprehensively observe the world from multiple perspectives; Create support that is closer to the thinking process of decision makers; Perform complex data and information processing instead of decision makers; Provide them with all the information they need to make the right decision in time. Discussion on decision-making process Meta Group, a well-known information technology consulting organization, pointed out: When talking about decision support, you must first understand what the decision-making process is, otherwise you can't provide a good decision-making support tool. Generally speaking, the decision-making process is divided into three stages: * When a problem is discovered, it is often unclear what the problem is, and only questions and doubts are raised about the phenomenon seen. At this time, it is hoped that the data can be easily tested and compared from different aspects and angles to find out the anomalies. This is especially important when it is observed that some factors combine to produce specific effects, which is often a place that needs further study. * more detailed analysis and discussion of the proposal ... >>
Question 8: The content of decision support system This book systematically introduces the basic theory and design and development methods of decision support system according to the requirements of undergraduate teaching syllabus of decision support system. The book is divided into nine chapters, including basic concepts, development status, typical structure, decision-making methods, models and decision support, data and decision support, knowledge and decision support, collaboration and group decision support, as well as analysis, design and development tools and application cases. For undergraduates majoring in management and computer science and application in colleges and universities, it is very important to master the three-component structure (or subsystem) of decision support system, namely, dialogue component (human-computer interaction subsystem), model component [model base (MB) and model base management system (MBMS)] and data component [database (DB) and database management system (DBMS)] to understand decision support system (DSS). Professor Tan Yuejin is responsible for the conception and compilation of this book, and has written two chapters: 1 and 2. Associate Professor Jin Cai wrote the main contents of Chapters 3-9, and Associate Professor Zhu Cheng helped to complete Chapters 5, 6, 7 and 9. This book is a national planning textbook for general higher education during the Eleventh Five-Year Plan period, and it is one of the series textbooks for information management and information system majors in colleges and universities in the series of "Informatization and Information Society". In the process of writing, I got the strong support from the editorial board of Informatization and Information Society, and the trust and guidance from Professor Chen Guoqing and Professor Li Yijun, two directors of the editorial board of Information Management and Information System in Colleges and Universities.
Question 9: What is a decision support system? Decision Support System (DSS) is a computer application system that uses data, models and knowledge to assist decision makers to make semi-structured or unstructured decisions through human-computer interaction. It is an advanced information management system produced by the development of management information system to a higher level. It provides an environment for decision makers to analyze problems, build models, simulate decision-making processes and schemes, and calls various information resources and analysis tools to help decision makers improve their decision-making level and quality.
Question 10: What is a decision support system? Decision support system is an intelligent man-machine system based on management science, operational research, cybernetics and behavioral science, with computer technology, simulation technology and information technology as means, aiming at semi-structured decision-making problems and supporting decision-making activities. The system can provide decision-makers with needed data, information and background information, help to clarify decision-making objectives and identify problems, establish or modify decision-making models, provide various alternative schemes, evaluate and optimize various schemes, analyze, compare and judge through human-computer interaction, and provide necessary support for correct decision-making. Through a series of man-machine conversations with decision makers, we can provide them with various reliable schemes and test their needs and ideas, so as to support decision-making.
Decision support system is generally composed of interactive language system, problem system, database, model base, method base and knowledge base management system. In some specific decision support systems, there may be no separate knowledge base and its management system, but model base and method base are usually necessary. Because of the different application fields and research methods, the structure of decision support system has many forms.