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.

Decision Support Systems and Decision-Making Processes

2010 ◽  
pp. 135-143 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Problem ◽  
Upper Management ◽  
Structured Problems ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Computer Based

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

Decision Support Systems and Decision-Making Processes

2010 ◽  
pp. 218-224 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Problem ◽  
Upper Management ◽  
Structured Problems ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Computer Based

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

A PROLOG-BASED CHINESE EXPERT SYSTEM

1988 ◽  
Vol 02 (01) ◽  
pp. 17-24
Author(s):  
HSU LOKE SOO
Keyword(s):  
Expert System ◽  
Natural Language ◽  
Knowledge Acquisition ◽  
Domain Expert ◽  
Knowledge Engineer ◽  
Knowledge Application ◽  
Design And Implementation ◽  
Expert System Shell ◽  
Natural Language Interface ◽  
Application Module

This paper presents the design and implementation of a Chinese Expert System Shell which is based on a Chinese Prolog interpreter. The system is divided into three parts: the knowledge acquisition module, the knowledge application module and the inference engine. The knowledge engineer defines the syntax of the language to be used by himself and by the users when they interact with the system. The natural language interface is table driven and can be modified easily. The system also caters for the case when the domain expert finds it difficult to articulate the rules, but is able to give examples. An inductive engine is included to extract rules from examples.

scholarly journals EFFECT OF RISK ANALYSIS ON PERFORMANCE OF CONSTRUCTION PROJECTS IN KUWAIT

2021 ◽  
Vol 30 (3) ◽  
Author(s):  
Rashid Aldaiyat
Keyword(s):  
Decision Making ◽  
Risk Analysis ◽  
Construction Projects ◽  
Descriptive Study ◽  
Significant Positive Effect ◽  
Performance Indices ◽  
Decision Making Processes ◽  
Positive Effect ◽  
High Range

Since construction projects are usually associated with high range of risks, risk analysis is an essential part within the decision-making processes in this industry. This study aims at finding the effect of appropriate risk analysis on enhancing the performance of the construction projects in Kuwait. Through this correlational descriptive study, a questionnaire was used to collect the main data where it was distributed on a sample of (150) engineers working in the construction projects in Kuwait. The results showed that risks analysis aspects are highly implemented in Kuwait and that the performance indices for the construction projects are high. Moreover, it was found that there is a statistically significant positive effect of risk analysis on the performance of the construction projects in Kuwait. Finally, the results showed that there were statistically significant differences in the effect of risk analysis on the performance of the construction projects attributed to the project type in favor of the private projects.            

A Generic Framework for Diagnosis

1993 ◽  
Author(s):  
J. R. Amyot
Keyword(s):  
User Interface ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Domain Knowledge ◽  
Development Time ◽  
Inference Engine ◽  
Application Development ◽  
Knowledge Engineer ◽  
Generic Framework ◽  
Diagnostic Framework

Abstract A generic diagnostic framework, called GENDIAG, is described. It facilitates the development of diagnostic expert systems by providing a standard user interface and an application-independent diagnostic inference engine. It reduces the application development time by letting the knowledge engineer concentrate on domain knowledge acquisition and entry into the system.

DEVELOPMENT OF A FUZZY EXPERT SYSTEM TO PRIORITIZE TRAFFIC CALMING PROJECTS

2016 ◽  
Vol 78 (2) ◽  
Author(s):  
Amir Falamarzi ◽  
Muhamad Nazri Borhan ◽  
Riza Atiq O. K. Rahmat ◽  
Samira Cheraghi ◽  
Hamid Haj Seyyed Javadi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Expert System ◽  
Expert Systems ◽  
Traffic Safety ◽  
Effective Parameters ◽  
Traffic Calming ◽  
Inference Engines ◽  
Efficiency And Effectiveness ◽  
Decision Making Processes

Nowadays, due to the constraints of budget and time, the prioritization of traffic calming projects before installation of traffic calming measures is vital for transportation engineers and urban planners. The purpose of this study is to develop an expert system for prioritizing streets that are affected by problems associated with traffic safety using Fuzzy Logic. Expert systems have been used widely and globally for facilitating decision-making processes in various fields of engineering. Due to the uncertainty and vagueness in traffic and transportation related problems, the use of fuzzy logic in the inference engines and decision-making processes of expert systems, is effective. In the proposed expert system, effective parameters in prioritizing traffic calming projects in residential streets including traffic volume, residential density, differential speed and number of accidents are investigated. The Fuzzy Logic toolbox, which is embedded in MATLAB (R2010b), is employed to design and simulate this expert system on the basis of Fuzzy Logic. A specific GUI was developed for this purpose. By developing this system, engineers and decision-makers will be able to rank projects according to their importance. This expert system was tested through prioritizing a number of residential streets in the city of Tehran. The output of the tests showed that the proposed system is helpful in prioritizing different traffic calming projects. Finally, the evaluation of the system was conducted. According to the assessment, most evaluators acknowledged the efficiency and effectiveness of the system. 

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.

Sign in / Sign up

Export Citation Format

Share Document