Use of Decision Tree and Risk Analysis as Aid of Decision Making(Case Study)
Journal Title: International Journal of Engineering and Science Invention - Year 2017, Vol 6, Issue 12
Abstract
Decision Tree (DT) is used successfully in many various areas such as big companies, institutes, industrial sectors and Governments with professional consultants to take a right hard decision among several true ones. The most important feature of DT is their capability to break down a complex decision-making process into a collection of simpler decisions, thus providing a solution which is easier to take. This paper presents a case study that using DT structure design, feature selection at each internal node, and decision making using expected monetary value (EMV). However, two analysis methods would be carried to assist decision making which they are the risk profile strategy and sensitivity analysis.
Authors and Affiliations
Abushaefah Abdulsamad, Mohammed Yussef
Keywords
Related Articles
- EP ID EP404201
- DOI -
- Views 109
- Downloads 0
Performance test on single cylinder CI-engine waste plastic fuel blend with diesel fuel
As the fossil fuels are depleting at a very faster rate, there is a need to find out an alternative fuel to fulfill the energy demand of the world. Plastic fuel is one of the best available sources to fulfill the energy...
Science Communication Through Radio
In developing as well as developed countries, science plays a great role for social welfare and empowerment. Of all the media, radio is an effective medium to reach the masses. This is because even illiterates can use th...
Sun Synchronus Solar Power Generation Station
Sun synchronous solar power station unit is one of the best advance autonomous system decentralize generation(DG) base system on digital intelligence(DI) functioning the core idea behind its optimizes solar radiation and...
Comparison of Different Classifiers Using Medical Domain Datasets
Now a day’s proper medical diagnostic is very much important. Manual diagnosis results in some incorrect outputs. As a result wrong treatment is applied on the patients. So automation of the diagnosis process is importan...
Early Detection of Cancer Disease using classifiers of Data Mining
Classification has been utilized in the area of Bio-medical research in scientific and experimental trail, prediction of weather, target customer segmentation, detection of fraud, diagnosis and detection of various disea...