Hybrid model decision making processes using knowledge discovery in data describing states

2006 ◽  
Author(s):  
F. Kurp
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Hybrid Model ◽  
Decision Making Processes

scholarly journals Knowledge Discovery in Data in Construction Projects

2016 ◽  
Vol 62 (2) ◽  
pp. 217-228 ◽  
Author(s):  
J. Szelka ◽  
Z. Wrona
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Knowledge Discovery ◽  
Construction Projects ◽  
Domain Expert ◽  
Knowledge Engineer ◽  
Computer Aided ◽  
Structured Problems ◽  
Decision Making Processes

Abstract Decision-making processes, including the ones related to ill-structured problems, are of considerable significance in the area of construction projects. Computer-aided inference under such conditions requires the employment of specific methods and tools (non-algorithmic ones), the best recognized and successfully used in practice represented by expert systems. The knowledge indispensable for such systems to perform inference is most frequently acquired directly from experts (through a dialogue: a domain expert - a knowledge engineer) and from various source documents. Little is known, however, about the possibility of automating knowledge acquisition in this area and as a result, in practice it is scarcely ever used. It has to be noted that in numerous areas of management more and more attention is paid to the issue of acquiring knowledge from available data. What is known and successfully employed in the practice of aiding the decision-making is the different methods and tools. The paper attempts to select methods for knowledge discovery in data and presents possible ways of representing the acquired knowledge as well as sample tools (including programming ones), allowing for the use of this knowledge in the area under consideration.

scholarly journals Decision support system for promotion of Faculty of Business and Economics Mendel University

2012 ◽  
Vol 60 (2) ◽  
pp. 443-448
Author(s):  
Pavel Turčínek ◽  
Arnošt Motyčka
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Secondary School ◽  
Knowledge Discovery ◽  
Business Intelligence ◽  
Knowledge Discovery In Databases ◽  
Optimum Number ◽  
Product Knowledge ◽  
Study Programs ◽  
Decision Making Processes

Decreasing number of secondary school graduates means that, for college, it becomes more difficult to fulfill guide number of newly admitted students. In order to maintain an optimum number of registered students, the Faculty of Business and Economics decided to support activities which increase the interest of its accredited programs.Potential students should be treated as customers to whom we want to offer a product – knowledge, skills and competencies. Promoting study programs PEF MENDELU is handled by PR department in collaboration with several students.Availability of resources for promotion is limited. It is crucial to deciding how to deal with these sources. By creating a system for monitoring and decision support, we provide all interested collaborators tool to improve decision-making processes.The system itself will be built on the tools of Business Intelligence (BI) that can observe consumer trends, identify customer segments and other important information. The BI emphasizes the use of OLAP technology for data processing. In the collected data about students is hidden a large amount of information that can be obtained using techniques such as knowledge discovery in databases.This article aims to describe the methodology for solving problems and show the application, which result in support of decision-making processes in the propagation PEF MENDELU, which should also lead to the efficiency of spending on this activity.

Knowledge Discovery and Geographical Databases

2005 ◽  
pp. 308-312
Author(s):  
Sami Faïz
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Geographic Information ◽  
Data Sources ◽  
Multi Scale ◽  
Volatile Collection ◽  
Great Progress ◽  
Decision Making Processes

Geographic data are characterized by huge volumes, lack of standards, multiplicity of data sources, multi-scale requirements, and variability in time. These characteristics make geographic information complex and uncertain. At the same time, the important growth of the quantity of data manipulated and the necessity to make rapid decisions imposed the appearance and the great progress of new tools like data warehousing techniques. Data warehouse is usually defined as a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of decision-making processes.

Cognitive Processing of Miscommunication in Interactive Listening: An Evaluation of Listener Indecision and Cognitive Effort

2021 ◽  
pp. 1-17
Author(s):  
Jennifer M. Roche ◽  
Arkady Zgonnikov ◽  
Laura M. Morett
Keyword(s):  
Decision Making ◽  
Cognitive Processing ◽  
Language Processing ◽  
Cognitive Effort ◽  
Mouse Tracking ◽  
Computer Mouse ◽  
Decision Making Processes ◽  
Computer Mouse Tracking ◽  
Listening Task ◽  
Processing Effort

Purpose The purpose of the current study was to evaluate the social and cognitive underpinnings of miscommunication during an interactive listening task. Method An eye and computer mouse–tracking visual-world paradigm was used to investigate how a listener's cognitive effort (local and global) and decision-making processes were affected by a speaker's use of ambiguity that led to a miscommunication. Results Experiments 1 and 2 found that an environmental cue that made a miscommunication more or less salient impacted listener language processing effort (eye-tracking). Experiment 2 also indicated that listeners may develop different processing heuristics dependent upon the speaker's use of ambiguity that led to a miscommunication, exerting a significant impact on cognition and decision making. We also found that perspective-taking effort and decision-making complexity metrics (computer mouse tracking) predict language processing effort, indicating that instances of miscommunication produced cognitive consequences of indecision, thinking, and cognitive pull. Conclusion Together, these results indicate that listeners behave both reciprocally and adaptively when miscommunications occur, but the way they respond is largely dependent upon the type of ambiguity and how often it is produced by the speaker.

“It's Not Humanly Possible to Do Everything”: Perspectives on Intervention Decision-Making Processes of Parents of Children with Autism Spectrum Disorders

2015 ◽  
Vol 22 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Erinn Finke ◽  
Kathryn Drager ◽  
Elizabeth C. Serpentine
Keyword(s):  
Decision Making ◽  
Individualized Education Program ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Sources Of Information ◽  
Individual Decision ◽  
Decision Making Processes ◽  
Spectrum Disorders ◽  
Interview Methodology ◽  
Communication Interventions

Purpose The purpose of this investigation was to understand the decision-making processes used by parents of children with autism spectrum disorder (ASD) related to communication-based interventions. Method Qualitative interview methodology was used. Data were gathered through interviews. Each parent had a child with ASD who was at least four-years-old; lived with their child with ASD; had a child with ASD without functional speech for communication; and used at least two different communication interventions. Results Parents considered several sources of information for learning about interventions and provided various reasons to initiate and discontinue a communication intervention. Parents also discussed challenges introduced once opinions of the school individualized education program (IEP) team had to be considered. Conclusions Parents of children with ASD primarily use individual decision-making processes to select interventions. This discrepancy speaks to the need for parents and professionals to share a common “language” about interventions and the decision-making process.

Training rapid decision-making processes required by the dismounted objective force leader

2003 ◽  
Author(s):  
Richard E. Christ ◽  
Alvah C. Bittner ◽  
Jared T. Freeman ◽  
Rick Archer ◽  
Gary Klein ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Making Processes
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