Open Access   Article Go Back

A Study on Influence of Sensitivity Analysis on Normalization Techniques by Applying Equal and Exchange of Weight Metrics

T. Miranda Lakshmi1 , A. Martin2 , V. Prasanna Venkatesan3

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-05 , Page no. 40-45, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si5.4045

Online published on Mar 10, 2019

Copyright © T. Miranda Lakshmi, A. Martin, V. Prasanna Venkatesan . 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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: T. Miranda Lakshmi, A. Martin, V. Prasanna Venkatesan, “A Study on Influence of Sensitivity Analysis on Normalization Techniques by Applying Equal and Exchange of Weight Metrics,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.05, pp.40-45, 2019.

MLA Style Citation: T. Miranda Lakshmi, A. Martin, V. Prasanna Venkatesan "A Study on Influence of Sensitivity Analysis on Normalization Techniques by Applying Equal and Exchange of Weight Metrics." International Journal of Computer Sciences and Engineering 07.05 (2019): 40-45.

APA Style Citation: T. Miranda Lakshmi, A. Martin, V. Prasanna Venkatesan, (2019). A Study on Influence of Sensitivity Analysis on Normalization Techniques by Applying Equal and Exchange of Weight Metrics. International Journal of Computer Sciences and Engineering, 07(05), 40-45.

BibTex Style Citation:
@article{Lakshmi_2019,
author = {T. Miranda Lakshmi, A. Martin, V. Prasanna Venkatesan},
title = {A Study on Influence of Sensitivity Analysis on Normalization Techniques by Applying Equal and Exchange of Weight Metrics},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {07},
Issue = {05},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {40-45},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=802},
doi = {https://doi.org/10.26438/ijcse/v7i5.4045}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.4045}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=802
TI - A Study on Influence of Sensitivity Analysis on Normalization Techniques by Applying Equal and Exchange of Weight Metrics
T2 - International Journal of Computer Sciences and Engineering
AU - T. Miranda Lakshmi, A. Martin, V. Prasanna Venkatesan
PY - 2019
DA - 2019/03/10
PB - IJCSE, Indore, INDIA
SP - 40-45
IS - 05
VL - 07
SN - 2347-2693
ER -

           

Abstract

Sensitivity analysis is used to find the robustness of a normalization technique. It is applied in two ways, one by applying equal weights to all the criteria (MSA_EQ) and other by exchanging of weights (MSA_EX). The result obtained for sensitivity analysis when it is conducted with equal weight is described in this paper. The impact of sensitivity analysis on assigning equal weights to criteria is described with different shaded colours for each of the normalization technique. The change in ranking order of the alternatives before and after of sensitivity analysis is described with shaded colour. In this analysis, linear max min normalization has minimum number of altered ranking order for alternatives. In both of these analysis (assigning equal weight to the criteria and exchanging weight of the criteria), selected six normalization techniques maintains different number of alterations in ranking order of alternatives.

Key-Words / Index Term

Multi criteria decision making, sensitivity analysis, TOPSIS, simplified TOPSIS, sFTOPSIS, MCDM Evaluation Metrics, Normalization Techniques, Evaluation of normalization techniques

References

[1] Alireza, Alinezhad, and Abbas Amini. "Sensitivity analysis of TOPSIS technique: the results of change in the weight of one attribute on the final ranking of alternatives." Journal of Optimization in Industrial Engineering (2011): 23-28.
[2] Hongyi, Chen, and Dundar F. Kocaoglu. "A sensitivity analysis algorithm for hierarchical decision models." European Journal of Operational Research 185, no. 1 (2008): 266-288.
[3] Masuda, Tatsuya. "Hierar Chakraborty, Subrata, and Chung-Hsing Yeh. "A simulation based comparative study of normalization procedures in multiattribute decision making." In Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases, vol. 6, pp. 102-109, (2007).
[4] Chical, sensitivity analysis of priority used in analytic hierarchy process." International Journal of Systems Science 21.2 (1990): 415-427.
[5] Maysam, Eftekhary, Peyman Gholami, Saeed Safari, and Mohammad Shojaee. "Ranking Normalization Methods for Improving the Accuracy of SVM Algorithm by DEA Method." Modern Applied Science 6, no. 10 (2012): 26.
[6] Aydın , Çelen. "Comparative analysis of normalization procedures in TOPSIS method: with an application to Turkish deposit banking market." Informatica 25, no. 2 (2014): 185-208.
[7] Liping, Yu, Yuntao Pan, and Yishan Wu. "Research on data normalization methods in multi-attribute evaluation." In Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on, pp. 1-5. IEEE, (2009).
[8] Maysam, Eftekhary, Peyman Gholami, Saeed Safari, and Mohammad Shojaee. "Ranking Normalization Methods for Improving the Accuracy of SVM Algorithm by DEA Method." Modern Applied Science 6, no. 10 (2012): 26.
[9] Milani, A. S., A. Shanian, R. Madoliat, and J. A. Nemes. "The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection." Structural and multidisciplinary optimization 29, no. 4 (2005): 312-318.
[10] Miranda Lakshmi, V.Prasanna Venkatesan, A Comparison of Various Normalization in Techniques for Order Performance by Similarity to Ideal Solution (TOPSIS), International Journal of Computing Algorithm, Volume: 03, May (2014), Pages: 882-888
[11] Adil, Baykasoğlu, and İlker Gölcük. "Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS." Information Sciences 301 (2015): 75-98.
[12] Alecos Kelemenis, and Dimitrios Askounis. "A new TOPSIS-based multi-criteria approach to personnel selection." Expert systems with applications 37, No. 7 (2010): 4999-5008.
[13] Alireza, Alinezhad, and Abbas Amini. "Sensitivity analysis of TOPSIS technique: the results of change in the weight of one attribute on the final ranking of alternatives." Journal of Optimization in Industrial Engineering (2011): 23-28.
[14] Aydın , Çelen. "Comparative analysis of normalization procedures in TOPSIS method: with an application to Turkish deposit banking market." Informatica 25, no. 2 (2014): 185-208.
[15] Basar ,Oztaysi. "A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems." Knowledge-Based Systems 70 (2014): 44-54.
[16] Dubey, Sanjay Kumar, and Kirti Sharawat. "Metrics based evaluation of mobile applications using AHP entropy model." In Computing for Sustainable Global Development (INDIACom), 3rd International Conference on, pp. 4041-4044. IEEE, (2016).
[17] Hamid, Naderi, Hadi Shahosseini, and Amir Jafari. "Evaluation mcdm multi-disjoint paths selection algorithms using fuzzy-copeland ranking method." International Journal of Communication Networks and Information Security (IJCNIS) 5, no. 1 (2013).
[18] Kemal Vatansever and Akkoç Soner. "Fuzzy performance evaluation with AHP and Topsis methods: evidence from turkish banking sector after the global financial crisis." Eurasian Journal of Business and Economics 6, no. 11 (2013): 53-74.
[19] Kshitij, Dashore, Shashank Singh Pawar, Nagendra Sohani, and Devendra Singh Verma. "Product Evaluation Using Entropy and Multi Criteria Decision Making Methods." International Journal of Engineering Trends and Technology (IJETT)-Volume4 Issue5-May (2013): 2183-2187.
[20] Lan, Ding, and Yao Zeng, "Evaluation of Chinese higher education by TOPSIS and IEW—The case of 68 universities belonging to the Ministry of Education in China." China Economic Review 36 (2015): 341-358.
[21] Leoncie, Niyigena, Pasi Luukka, and Mikael Collan. "Supplier evaluation with fuzzy similarity based fuzzy TOPSIS with new fuzzy similarity measure." In Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on, pp. 237-244. IEEE, (2012).
[22] Li, Bao-jun, and Li-ying Yu. "Evaluation on pre-warning capability of public crisis in universities based on group AHP and fuzzy TOPSIS." In Management Science & Engineering (ICMSE), 2014 International Conference on, pp. 1998-2004. IEEE, (2014).
[23] Liping, Yu, Yuntao Pan, and Yishan Wu. "Research on data normalization methods in multi-attribute evaluation." In Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on, pp. 1-5. IEEE, (2009).
[24] Mehdi Ghazanfari, Rouhani, Saeed, and Mostafa Jafari. "Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS." Expert Systems with Applications 39, no. 3 (2012): 3764-3771.
[25] Mukhtar, Elaalem, Alexis Comber, and Pete Fisher. "Land evaluation techniques comparing fuzzy AHP with TOPSIS methods." In 13th AGILE international conference on geographic information science, (2010) 1-8.
[26] Nikoomaram, H., M. Mohammadi, M. Javad Taghipourian, and Y. Taghipourian. "Training performance evaluation of administration sciences instructors by fuzzy MCDM approach." Contemporary Engineering Sciences 2, no. 12 (2009): 559-575.
[27] Faan, Chen, Jianjun Wang, and Yajuan Deng. "Road safety risk evaluation by means of improved entropy TOPSIS–RSR." Safety science 79 (2015): 39-54.
[28] Senthil, S., B. Srirangacharyulu, and A. Ramesh. "A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics." Expert Systems with Applications 41.1 (2014): 50-58.
[29] Srdjevic, B., Y. D. P. Medeiros, and A. S. Faria. "An objective multi-criteria evaluation of water management scenarios." Water resources management 18, no. 1 (2004): 35-54.
[30] Triantaphyllou, Evangelos, and Chi-Tun Lin. "Development and evaluation of five fuzzy multiattribute decision-making methods." international Journal of Approximate reasoning 14.4 (1996): 281-310.
[31] Xiaojun ,Wang. "A comprehensive decision making model for the evaluation of green operations initiatives." Technological Forecasting and Social Change 95 (2015): 191-207.
[32] Zavadskas, Edmundas Kazimieras, Algimantas Zakarevicius, and Jurgita Antucheviciene. "Evaluation of ranking accuracy in multi-criteria decisions." Informatica 17, no. 4 (2006): 601-618.
[33] Zavadskas, Edmundas Kazimieras, and Zenonas Turskis. "A new logarithmic normalization method in games theory." Informatica 19, no. 2 (2008): 303-314.
[34] Zavadskas, Edmundas Kazimieras, Leonas Ustinovichius, and Friedel Peldschus. "Development of software for multiple criteria evaluation." Informatica 14, no. 2 (2003): 259-272.