Fuzzy Decision Trees as a Decision Making Framework in the Private Sector
M. Vijaya1 , M. Arthi2
Section:Research Paper, Product Type: Journal Paper
Volume-07 ,
Issue-02 , Page no. 50-57, Jan-2019
Online published on Jan 31, 2019
Copyright © M. Vijaya, M. Arthi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: M. Vijaya, M. Arthi, “Fuzzy Decision Trees as a Decision Making Framework in the Private Sector,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.02, pp.50-57, 2019.
MLA Style Citation: M. Vijaya, M. Arthi "Fuzzy Decision Trees as a Decision Making Framework in the Private Sector." International Journal of Computer Sciences and Engineering 07.02 (2019): 50-57.
APA Style Citation: M. Vijaya, M. Arthi, (2019). Fuzzy Decision Trees as a Decision Making Framework in the Private Sector. International Journal of Computer Sciences and Engineering, 07(02), 50-57.
BibTex Style Citation:
@article{Vijaya_2019,
author = {M. Vijaya, M. Arthi},
title = {Fuzzy Decision Trees as a Decision Making Framework in the Private Sector},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {02},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {50-57},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=646},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=646
TI - Fuzzy Decision Trees as a Decision Making Framework in the Private Sector
T2 - International Journal of Computer Sciences and Engineering
AU - M. Vijaya, M. Arthi
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 50-57
IS - 02
VL - 07
SN - 2347-2693
ER -
Abstract
Systematic approaches to making decisions in the private sector are becoming very common. Most often, these approaches concern expert decision models. The expansion of the idea of the development of e-participation and e-democracy was influenced by the development of technology. The solution presented in this papers concerns fuzzy decision making framework. This framework combines the advantages of the introduction of the decision making problem in a tree structure and the possibilities offered by the flexibility of the fuzzy approach. The possibilities of implementation of the framework in practice are introduced by case studies of investment projects appraisal in a community and assessment of efficiency and effectiveness of private sector.
Key-Words / Index Term
Decision tree, Appraisal tree, Fuzzy set, Decision making, private sector
References
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