Exfoliating decision support system: a synthesis of themes using text mining

Author(s):  
Rahul Kumar ◽  
Rahul Thakurta
1996 ◽  
Vol 18 (2) ◽  
pp. 159-166 ◽  
Author(s):  
Marc J. Schniederjans ◽  
Donald A. Carpenter

Author(s):  
Onno A. J. Peters ◽  
Leon J. M. Adegeest

During transports of large heavy cargo like jack-up rigs or semi-submersibles, the Motion Monitoring and Captain Decision Support system is a valuable tool to ensure a safe and economical voyage. Using the dynamic characteristics of the vessel in combination with 5-day weather forecasts and design limits like maximum accelerations at the cargo location, roll motion and/or leg bending moment, more and better information is available to the Master to choose a safe heading, speed and route. This way the best knowledge what to expect is contributing to the safety of cargo, transport vessel and crew. Besides use in heavy transport, this system is widely used on container ships, LNG carriers, all kinds of offshore vessels and many other types of floating structures. With daily communication, all important information is made available on internet to the operator’s main office, from which clients are informed with a comprehensive and concise overview of what is happening with their property. After the voyage, clients can be provided with the recorded Motion Monitoring data, which is valuable information for the lifetime assessment. The paper is presenting background information of the Motion Monitoring and Captain Decision Support system, a brief overview of methods used by the system and is describing the relations between transport vessel, main office and client and between the Transport Manual and the system. Results of two independent measurement systems are giving proof of high accuracy of the measurements. Comparison between measurements and predicted vessel response are shown and explained.


Symmetry ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1426
Author(s):  
Mehmet Erkan Yuksel ◽  
Huseyin Fidan

Grey relational analysis (GRA) is a part of the Grey system theory (GST). It is appropriate for solving problems with complicated interrelationships between multiple factors/parameters and variables. It solves multiple-criteria decision-making problems by combining the entire range of performance attribute values being considered for every alternative into one single value. Thus, the main problem is reduced to a single-objective decision-making problem. In this study, we developed a decision support system for the evaluation of written exams with the help of GRA using contextual text mining techniques. The answers obtained from the written exam with the participation of 50 students in a computer laboratory and the answer key prepared by the instructor constituted the data set of the study. A symmetrical perspective allows us to perform relational analysis between the students’ answers and the instructor’s answer key in order to contribute to the measurement and evaluation. Text mining methods and GRA were applied to the data set through the decision support system employing the SQL Server database management system, C#, and Java programming languages. According to the results, we demonstrated that the exam papers are successfully ranked and graded based on the word similarities in the answer key.


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