The Decision-Making for Fault Diagnosis Based on Consistent Approximation Space

2012 ◽  
Vol 591-593 ◽  
pp. 1739-1742
Author(s):  
Lian Chen ◽  
Ming Qing Xiao ◽  
Sheng Sheng ◽  
Yan Tao Ma
Keyword(s):  
Decision Making ◽  
Information System ◽  
Fault Diagnosis ◽  
Attribute Reduction ◽  
Weapon System ◽  
Test Results ◽  
Approximation Space ◽  
Consistent Approximation ◽  
Definition Of

Due to vary kinds of factors, test results for a weapon system may be incomplete and hard to make decisions for fault diagnosis. Aimed at the problem of the weapon system inconsistent decision-making for fault diagnosis, introduced the method of consistent approximation space. Firstly the definition of inconsistent decision-making information system was brought forward, and then the consistent approximation space was formed. Attribute reduction for the consistent approximation space and an approach for rule amalgamation were also presented. Finally, a case was used to prove this method; the result shows that the method of consistent approximation space can solve the inconsistent decision-making for fault diagnosis problems effectively.

Management Control Instruments

2020 ◽  
pp. 111-142
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Management ◽  
Business Environment ◽  
Management Control ◽  
Activity Based Costing ◽  
Work Processes ◽  
Internal Work ◽  
Management Techniques ◽  
Definition Of

The definition of the dialogue instruments is closely linked to the management of the knowledge that companies want to implement and should contribute to the proper functioning of the management control tools and to the sharing, application, and knowledge creation within the organization. In this chapter, some knowledge management techniques will be presented, which should be defined, taking also into consideration the management control systems to be implemented. In view of the constant changes in the business environment, the company must be market-oriented, and adequate information by segments will be highlighted for decision making. Being important to obtain efficiencies in the realization of internal work processes, the authors also describe some topics of the activity-based costing and activity-based management. As organizations are becoming more complex and decentralized, the information system should also adapt. In this sense, the authors describe organizational types and the adaptation of the management control instruments.

Rough Set Model in Incomplete Decision Systems

2017 ◽  
Vol 21 (7) ◽  
pp. 1221-1231 ◽  
Author(s):  
Thinh Cao ◽  
Koichi Yamada ◽  
Muneyuki Unehara ◽  
Izumi Suzuki ◽  
Do Van Nguyen ◽  
...  
Keyword(s):  
Decision Making ◽  
Information System ◽  
Missing Data ◽  
Rough Set ◽  
Information Loss ◽  
The Other ◽  
Decision Systems ◽  
Local Decision ◽  
Definition Of ◽  
Quantitative Indicators

The paper introduces a rough set model to analyze an information system in which some conditions and decision data are missing. Many studies have focused on missing condition data, but very few have accounted for missing decision data. Common approaches tend to remove objects with missing decision data because such objects are apparently considered worthless from the perspective of decision-making. However, we indicate that this removal may lead to information loss. Our method retains such objects with missing decision data. We observe that a scenario involving missing decision data is somewhat similar to the situation of semi-supervised learning, because some objects are characterized by complete decision data whereas others are not. This leads us to the idea of estimating potential candidates for the missing data using the available data. These potential candidates are determined by two quantitative indicators: local decision probability and universal decision probability. These potential candidates allow us to define set approximations and the definition of reduct. We also compare the reducts and rules induced from two information systems: one removes objects with missing decision data and the other retains such objects. We highlight that the knowledge induced from the former can be induced from the latter using our approach. Thus, our method offers a more generalized approach to handle missing decision data and prevents information loss.

The Characterization of Multiple Harmanic Riesz Bases of Affine Subspaces and Applications

2013 ◽  
Vol 321-324 ◽  
pp. 2371-2374
Author(s):  
Shu De Du ◽  
Bao Xian Lv
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Information System ◽  
Operations Management ◽  
Information Science ◽  
Riesz Bases ◽  
Decomposition Scheme ◽  
Affine Subspaces ◽  
Definition Of

An information system is any combination of information technology and people's act- ivities that support operations, management and decision making. Information science focuses on understanding problems from the perspective of the stakeholders involved and then applying information and other technologies as needed. The definition of multiple harmonic frames for subs -paces with integer translation is proposed. The notion of a generalized multiresolution structure of is also introduced. The construction of a generalized multiresolution structure of Paley -Wiener subspaces of is investigated. The pyramid decomposition scheme is derived based on a generalized multiresolution structure.

DATABASE DESIGN FOR E-GOVERNANCE APPLICATION: A FRAMEWORK FOR THE MANAGEMENT INFORMATION SYSTEMS OF THE VIETNAM COMMITTEE FOR ETHNIC MINORITY AFFAIRS

2017 ◽  
Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Good Governance ◽  
Local Governance ◽  
Geographical Information ◽  
Base System ◽  
Challenges And Opportunities ◽  
Competency Based

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff

Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey

2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Health Sector ◽  
Health Information System ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical Information Systems ◽  
Management Information

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.

A Unifying Principle for a Researcher Learning Safety: Reduce Uncertainty!

2018 ◽  
Author(s):  
Camilla Kao ◽  
Russell Furr
Keyword(s):  
Decision Making ◽  
Best Practices ◽  
Mission Statement ◽  
Safety Information ◽  
Health And Safety ◽  
Mission Statements ◽  
Definition Of ◽  
Physical And Chemical

Conveying safety information to researchers is challenging. A list of rules and best practices often is not remembered thoroughly even by individuals who want to remember everything. Researchers in science thinking according to principles: mathematical, physical, and chemical laws; biological paradigms. They use frameworks and logic, rather than memorization, to achieve the bulk of their work. Can safety be taught to researchers in a manner that matches with how they are trained to think? Is there a principle more defined than "Think safety!" that can help researchers make good decisions in situations that are complex, new, and demanding?<div><br></div><div>Effective trainings in other professions can arise from the use of a mission statement that participants internalize as a mental framework or model for future decision-making. We propose that mission statements incorporating the concept of <b>reducing uncertainty</b> could provide such a framework for learning safety. This essay briefly explains the definition of <b>uncertainty</b> in the context of health and safety, discusses the need for an individual to <b>personalize</b> a mission statement in order to internalize it, and connects the idea of <b>greater control</b> over a situation with less uncertainty with respect to safety. The principle of reducing uncertainty might also help <b>non-researchers</b> think about safety. People from all walks of life should be able to understand that more control over their situations provides more protection for them, their colleagues, and the environment.</div>

EXPERT MANAGEMENT SYSTEMS OF AGROTECHNOLOGIES IN CLOUD INFORMATION TECHNOLOGY

1970 ◽  
pp. 12-17
Author(s):  
I. М. Mikhaylenko ◽  
V. N. Timoshin
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Information System ◽  
Knowledge Base ◽  
Information Technologies ◽  
Agricultural Sector ◽  
Perennial Grasses ◽  
Management Decision ◽  
Agricultural Technologies ◽  
Automation Systems

The transition to "intellectual" agriculture is the main vector of modernization of the agricultural sector of the economy. It is based on integrated automation and robotization of production, the use of automated decision-making systems. This is inevitably accompanied by a significant increase in data flow from sensors, monitoring systems, meteorological stations, drones, satellites and other external systems. Farm management has the opportunity to use various online applications for accurate recommendations and making various kinds of management decisions. In this regard, the most effective use of cloud information technologies, allowing implementing the most complex information and technical level of automation systems for management of agricultural technologies. The purpose of this work is to test the approach to creating expert management decision support systems (DSS) through the knowledge base (KB), formed in the cloud information system. For this, we consider an example of constructing a DSS for choosing the optimal date for preparing forage from perennial grasses. A complete theoretical and algorithmic database of the analytical DSS implemented in the data processing center of the cloud information system is given. On its basis, a KB is formed for a variety of different decision-making conditions. This knowledge base is transmitted to the local DSS. To make decisions about the optimal dates for the preparation of the local DSS, two variants of algorithms are used. The first option is based on management models, and the second uses the pattern recognition method. The approbation of the algorithms was carried out according to the BZ from 50 cases. According to the results of testing, the method of pattern recognition proved to be more accurate, which provides a more flexible adjustment of the situation on the local DSS to a similar situation in the KB. The considered technique can be extended to other crops.

Formation of requirements for the information system of environmental monitoring

2020 ◽  
pp. 31-34
Author(s):  
CHUNMEI JI
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Environmental Monitoring ◽  
Environmental Uncertainty ◽  
Agricultural Enterprises ◽  
Ecological Uncertainty

The study considers the problem of decision-making in the actvites of agricultural enterprises in conditons of environmental uncertainty. The problem is formalized as a multcriteria conditonal optmizaton problem. The novelty of the work is that the factors are considered as dynamic fuzzy quanttes. The choice of the best alternatve is made between the elements of a predetermined fnite set of alternatves. Based on this formalizaton of the decision-making task, six requirements to the informaton system of decision support in the conditons of ecological uncertainty are formulated.

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