Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 8 Issue 6
Expert System for Problem Solution in Quality Assurance System
Adesh Vikram Singh,Ashish Kaul,Ankit Kumar Thakur
10.7753/IJCATR0806.1002
keywords : : pair-wise; offline mode; online model; training samples; comparative.
To find a particular solution for a given problem or to answer any question we need to find a solution from the given set of solution by pair wise comparisons. A historical set of data help us to find different answers for the same question asked multiple times. In our proposed system there are two models one is "offline model" and another one is "online model". In offline learning component we establish training samples with the help of data driven observations. In online search component a pool of candidate answer is collected for a given question by finding similar types of questions. With the help of offline trained model candidate answer are sorted in preference order. A comparative demonstration of the experiments on the real-world community-based question answering is shown.
@artical{a862019ijcatr08061002,
Title = "Expert System for Problem Solution in Quality Assurance System",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "8",
Issue ="6",
Pages ="221 - 223",
Year = "2019",
Authors ="Adesh Vikram Singh,Ashish Kaul,Ankit Kumar Thakur"}
The goal is to extract information from a data set and transform it into an understandable structure
One can freely ask any question and expect some good, honest answers
This technique can quantitatively rank answer candidates from the relevant question pool
System give best suited answer to the question that is asked by the user.