Open Access Open Access  Restricted Access Subscription or Fee Access

Ranking of Mobile Phones by Using Multi-Criteria Decision Making Methods with Equal Weightage Criteria

Krantikumar V. Mhetre, G. Anandhi

Abstract


Exponential growth of various mobile applications has led the users to uncertainty and difficulty in selecting proper application which suits to their requirements and needs. As a result, there is an urgent need for automated and efficient mobile device selection with requisite applications. The Users must first evaluate the application store ratings or the content rated by the application developer. The multi criteria decision making (MCDM) theory is the best methodology for decision making. The study undertaken here is for evaluating the best mobile phone from the accessible alternatives. Alternatives were considered with the attributes i.e., cost, camera, look and storage capacity of the mobile phone. For selection of the mobile phone that serves the purpose the Additive Ratio Assessment (ARAS), the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIKOR method is applied to evaluate best mobile phone. This methodology of decision making is advantageous for the engineers and managers in selecting the proper mobile phone. The current research has been streamlined for understanding the compatibility and the efficiency of the selected mobile set for the study of complex mathematics for the target audience. The selection process primarily uses the multi criteria decision making (MCDM) theory.


Full Text:

PDF

References


Kazimieras Zavadskas E, Antucheviciene J, Chatterjee P. Multiple-criteria decision-making (MCDM) techniques for business processes information management. Information. 2019 Jan;10(1):4.

Triantaphyllou E, Baig K. The impact of aggregating benefit and cost criteria in four MCDA methods. IEEE transactions on engineering management. 2005 Apr 25;52(2):213–226.

Kahraman C, Onar SC, Oztaysi B. Fuzzy multicriteria decision-making: a literature review. International journal of computational intelligence systems. 2015 Jul 4;8(4):637-666.

Odu GO. Weighting methods for multi-criteria decision making technique. Journal of Applied Sciences and Environmental Management. 2019 Sep 11;23(8):1449–1457. 5. Zavadskas EK, Turskis Z. A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and economic development of economy. 2010 Jan 1;16(2):159-72.

REST Publisher (2020, November 13). ARAS Method [online]. Available from https://www.youtube.com/watch?v=RCpdLft432g&t=1205s 7. Zlatko PA, NOVOSELAC V. Notes on TOPSIS method. International Journal of Research in Engineering and Science. 2013;1(2):5–12.

REST Publisher (2020, September 02). TOSPIS [Online].Available from https://www.youtube.com/watch?v=nvWZHS1uwww&t=1598s 9. Başaran S, Aduradola OJ. A multi-criteria decision making to rank Android based mobile applications for mathematics. International Journal of Advanced Computer Science and Applications. 2018 Jul 1;9(7):99–107.

REST Publisher (2020, September 03). VIKOR Method in MCDM [Online]. Available from https://www.youtube.com/watch?v=WMX3SVnvRls


Refbacks

  • There are currently no refbacks.