Application of Simple Average Weighting Optimization Method in the Selection of Best Desktop Computer Model
DOI:
https://doi.org/10.21467/ajgr.6.1.60-68Abstract
Multi-Criteria Decision Making (MCDM) is one of the most emerging concepts in today’s world which enables a decision maker to select the best strategies among different available alternatives. MCDM technique helps to remove the biasness and confusion while selecting a product or process. In recent few years different MCDM methodologies finds wide area of applications in industries as well as in our daily life. In this paper, such one type of application is broadly described. One example is taken from our daily life, which is generally faced by most of the students while purchasing a desktop computer. The main objective of this paper is to select the best desktop computer models among five different models actual available in the market having different configurations. For this analysis, 100 computer users have been surveyed to know their relative preferences and choices, which of the computer specifications is most important to them. For this present analysis few numbers of criteria have been considered and also there are number of sub-criteria within each criterion (for example, the processor may be different for different models like I3, I5, I7 etc.). The MCDM methodology which is adopted for this selection process is known as Simple Average Weighting (SAW) method.
Keywords:
Multi-Criteria Decision Making, Simple Average Weighting, Desktop Computers, Criteria, Sub-CriteriaDownloads
References
S. Mitra and S. S. Goswami “Selection of the desktop computer model by AHP-TOPSIS hybrid MCDM methodology,” International Journal of Research and Analytical Reviews (IJRAR), vol. 6, no. 1, pp. 784-790, 2019.
S. Mitra and S. S. Goswami “Application of integrated MCDM technique (AHP-SAW) for the selection of best laptop computer model,” International Journal for Research in Engineering Application & Management (IJREAM), vol. 4, no. 12, pp. 1-6, Mar 2019.
T. L. Saaty “The analytic hierarchy process,” New York: McGraw-Hill, 1980.
R. W. Saaty “The analytic hierarchy process – what it is and how it is used,” Mathematical Modelling, Elsevier, vol. 9, no. 3-5, pp. 161-176, 1987.
C. L. Hwang and K. Yoon “Multiple Attributes Decision Making Methods and Applications”, Berlin: Springer, 1981.
R. Karim and C. L Karmaker “Machine Selection by AHP and TOPSIS Methods,” American Journal of Industrial Engineering, vol. 4, no. 1, pp. 7-13, 2016.
M. Behzadian, R. B. Kazemzadeh, A. Albadvi, and M. Aghdasi “PROMETHEE: A Comprehensive Literature Review on Methodologies and Applications,” European Journal of Operational Research, Elsevier, vol. 200, no. 1, pp. 198-215, Jan 2010.
M. B. Ayhan “A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gearmotor Company,” International Journal of Managing Value and Supply Chains (IJMVSC), vol. 4, no. 3, pp. 11-23, Sept 2013.
S. Mitra and S. Kundu “Application of TOPSIS for Best Domestic Refrigerator Selection,” International Journal of Research and Analytical Reviews, vol. 5, no. 3, pp. 226-231, 2018.
S. Mitra and S. Kundu “Application of Analytic Hierarchy Process for Domestic Refrigerator Selection,” International Journal of Emerging Technologies in Engineering Research, vol. 5, no. 12, pp. 126-132, 2017.
S. A. Sahaaya Arul Mary and G. Suganya “Multi-Criteria Decision Making Using ELECTRE,” Scientific Research Publishing, pp. 1009-1019, 2016.
L. Abdullah and C. W. Rabiatul Adawiyah “Simple Additive Weighting Methods of Multi criteria Decision Making and Applications: A Decade Review,” International Journal of Information Processing and Management (IJIPM), vol. 5, no. 1, pp. 39-49, Feb 2014.
S. D. Pohekar and M. Ramachandran “Application of multi-criteria decision making to sustainable energy planning—A review,” Renewable and Sustainable Energy Reviews, vol. 8, no. 4, pp. 365–381, Jan 2004.
A. Chauhan and R. Vaish “A Comparative Study on Decision Making Methods with Interval Data,” Journal of Computational Engineering, vol. 2014, Article ID 793074, 10 pages, 2014.
R. Abu Taha “Multi criteria Applications in Renewable Enegy Analaysis: A Literature Review,” Proceedings of Technology Management of in the Energy Smart World, pp. 1-8, 2011.
W. Ho, X. Xu and P. K. Dey “Multi-criteria decision-making approaches for supplier evaluation and selection: A literature review,” European Journal of Operational Research, vol. 202, no. 1, pp. 16– 24, 2010.
P. Agarwal, M. Sahai, V. Mishra, M. Bag and V. Singh “A review of multi-criteria decision-making techniques for supplier evaluation and selection,” International Journal of Industrial Engineering Computations, vol. 2, no. 4, pp. 801–810, 2011.
A. Afshari, M. Mojaheed and R. M. Yusuff “Simple Additive Weighting Approach to Personnel Selection Problem,” International Journal of Innovation, Management and Technology (IJIMT), vol. 1, no. 5, pp. 511-515, Dec 2010.
C. Carlsson and R. Fuller “Fuzzy multiple criteria decision making: Recent developments,” Fuzzy Sets and Systems, vol. 78, no. 2, pp. 139-153, Mar 1996.
L. A. Zadeh “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338-353, June 1965.
A. Keufmann and M. M. Gupta “Introduction to Fuzzy Arithmetic: Theory and Application,” New York: Van Nostrand Reinhold, 1991.
Z. Li, V. Kecman and A. Ichikawa “Fuzzified neural network based on fuzzy number operations,” Fuzzy Sets and Systems, Elsevier, vol. 130, no. 3, pp. 291-304, Sept 2002.
W. Deni, O. Sudana and A. Sasmita “Analysis and Implementation Fuzzy Multi-Attribute Decision Making SAW Method for Selection of High Achieving Students in Faculty Level,” International Journal of Computer Science, vol. 10, no, 1, pp. 674–680, Jan 2013.
S. Gupta and A. Gupta “A Fuzzy Multi Criteria Decision Making Approach for Vendor Evaluation in a Supply Chain,” Interscience Management Review, vol. 2, no. 3, pp. 10–16, 2012.
M. Kumar, P. Jayaswal, and K. Kushwah “Exploring Fuzzy SAW Method for Maintenance Strategy Selection Problem of Material Handling Equipment,” International Journal of Current Engineering and Technology, vol. 3, no. 2, pp. 600–605, 2013.
R. A. ZeinEldin and B. M. Abdullah “Comparing two multi-criteria approaches to investigate their ability in measuring efficiency,” International Journal for Modern Trends in Science and Technology, vol. 3, no. 2, pp. 52-56, Feb 2017.
K. Kabassi “Fuzzy Simple Additive Weighting for Evaluating a Personalised Geographical Information System,” New Directions in Intelligent Interactive Multimedia Systems and Services-2, Studies in Computational Intelligence, vol. 226, pp. 275–284, 2009.
A. Kumar, B. Sah, A. R. Singh, Y. Deng, X. He, P. Kumar, R. C. Bansal “A review of multi criteria decision making (MCDM) towards sustainable renewable energy development,” Renewable and Sustainable Energy Reviews, Elsevier, vol. 69, pp. 596-609, Mar 2017.
E. K. Zavadskas, J. Antucheviciene, Z. Turkis and H. Adeli “Hybrid multiple-criteria decision-making methods: A review of applications in engineering,” Sharif University of Technology, vol. 23, no. 1, pp. 1-20, Feb 2016.
S. Alshehri “Multicriteria Decision Making (MCDM) Methods for Ranking Estimation Techniques in Extreme Programming,” Engineering, Technology & Applied Science Research, vol. 8, no. 3, pp. 3073-3078, 2018.
D. Yu, W. Wang, W. Zhang and S. Zhang “A bibliometric analysis of research on multiple criteria decision making,” Current Science, vol. 114, no. 4, pp. 747-758, Feb 2018.
F. Sitorus, J. J. Cilliers and P. R. Brito-Parada “Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends,” Expert Systems with Applications, Elsevier, vol. 121, pp. 393-417, May 2019.
R. F. de Farias Aires and L. Ferreira “The rank reversal problem in multi-criteria decision making: A literature review,” Pesquisa Operacional, vol. 38, no. 2, May/Aug 2018.
T. L. Saaty “Decision making with the analytic hierarchy process,” International Journal of Services Sciences, vol. 1, no. 1, 2008.
Downloads
Published
Issue
Section
How to Cite
License
Copyright (c) 2019 Soupaya Mitra, Shankha Shubhra Goswami
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Click here for more information on Copyright policy
Click here for more information on Licensing policy