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Constructing Spanning Tree in Banking Sector Problem Using Different Types of Algorithms
M. Vijaya1 , B. Mohanapriyaa2
Section:Research Paper, Product Type: Isroset-Journal
Vol.5 ,
Issue.4 , pp.359-370, Aug-2018
CrossRef-DOI: https://doi.org/10.26438/ijsrmss/v5i4.359370
Online published on Aug 31, 2018
Copyright © M. Vijaya , B. Mohanapriyaa . 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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IEEE Style Citation: M. Vijaya , B. Mohanapriyaa, “Constructing Spanning Tree in Banking Sector Problem Using Different Types of Algorithms,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.5, Issue.4, pp.359-370, 2018.
MLA Style Citation: M. Vijaya , B. Mohanapriyaa "Constructing Spanning Tree in Banking Sector Problem Using Different Types of Algorithms." International Journal of Scientific Research in Mathematical and Statistical Sciences 5.4 (2018): 359-370.
APA Style Citation: M. Vijaya , B. Mohanapriyaa, (2018). Constructing Spanning Tree in Banking Sector Problem Using Different Types of Algorithms. International Journal of Scientific Research in Mathematical and Statistical Sciences, 5(4), 359-370.
BibTex Style Citation:
@article{Vijaya_2018,
author = {M. Vijaya , B. Mohanapriyaa},
title = {Constructing Spanning Tree in Banking Sector Problem Using Different Types of Algorithms},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {8 2018},
volume = {5},
Issue = {4},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {359-370},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=749},
doi = {https://doi.org/10.26438/ijcse/v5i4.359370}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i4.359370}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=749
TI - Constructing Spanning Tree in Banking Sector Problem Using Different Types of Algorithms
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - M. Vijaya , B. Mohanapriyaa
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 359-370
IS - 4
VL - 5
SN - 2347-2693
ER -
Abstract :
Fuzzy graphs are used as device for modeling and description of the real world. Network systems such are Banking, Transport, water, electricity, internet, work operations schemes in the process of production, construction etc….
Banking system keeps the day by day tally record as a complete banking. It can keep the information of account type, account opening form, deposit, with drawl and searching the transaction. The working of banking account system and cover the basic functionality of a bank account management system. The main focus is to a systematic study of algorithms. Basic banking itself needs to be supported by innovative strategies, in order to improve the reach and reduce the operating cost of the banks. Infrastructure sharing amongst banks and organizations will help in lowering the in commission cost and thus the cost benefit can be transferred to customers. Greater use of technology should be made by the banks to improve their reach, speed of processing, as well as to cut down the operating cost.
An illustrative example is included to demonstrate the proposed algorithm. This paper is designed to find a key application of the fund available for investment for the customer to the bank using Nearest Neighbor Algorithm, Repeated Nearest Neighbor Algorithm, Cheapest Link Algorithm and Kruskal`s Algorithm to a randomly weighted fuzzy graph. These algorithm continuously increases the size of a fuzzy tree, one edge at a time, starting with a fuzzy tree consisting of a single vertex, until it spans all vertices of the fuzzy graph.
Key-Words / Index Term :
Fuzzy Spanning Tree-Nearest Neighbor Algorithm-Repeated Nearest Neighbor Algorithm-Cheapest Link Algorithm-Kruskal’s Algorithm
References :
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