Associate Professor Dr. Sivakumar Dhar Malingam


Multi Criteria Decision Making methods is one of the most common methods used to determine the most appropriate material. In the decision making process, there are dissimilarities to elicit, specify and analyse the information on alternatives, criteria and relative significance of the criteria. Fuzzy set has been utilised in Multi Criteria Decision Making methods to optimise the method and created an extended approach to deal with uncertainty and increase the accuracy of decision making. As for many years’ asbestos was viewed as having an optimal performance as a brake pad. However, this material has been banned by the Environmental Protection Agency. Due to the increasing awareness on environmental impact and subsequently the need towards sustainability, selection of the appropriate material for a brake pad that complies with the environment and regulations is vital and natural fibre reinforced composite has potential to replace the asbestos in the automotive brake pad application. Therefore, the objective of this study is to apply the Fuzzy VIKOR to select the best natural fibre reinforced composite for the automotive brake pad to replace the asbestos. Four alternatives of natural fibre reinforced composite with five criteria have been evaluated by three decision maker. The results of the Fuzzy VIKOR shows that the date palm fibre is selected as the best material for the automotive brake pad.

Full Text:



Anojkumar, L., Ilangkumaran, M., and Sasirekha, V. (2014). Comparative Analysis of MCDM Methods for Pipe Material Selection in Sugar Industry. Expert Systems with Applications, 41(6), 2964–2980.

Asemi, A., Sapiyan, M., Asemi, A., and Haji, R.B. (2014). Fuzzy Multi Criteria Decision Making Applications : A Review Study. 344–351.

Belton, V., and Stewart, T. (2002). Multiple Criteria Decision Analysis: And Integrated Approach., Boston: Kluwer Academic Publishers.

Ishak, N.M., Malingam, S.D., and Mansor, M.R. (2016). Selection of Natural Fibre Reinforced Composites Using Fuzzy VIKOR for Car Front Hood. International Journal of Materials and Product Technology, 53(3/4), 267–285.

Ishak, N.M., Sivakumar, D., and Mansor, M.R. (2017). Thermoplastic Matrix Selection for Fibre Metal Laminate Using Fuzzy VIKOR and Entropy Measure for Objective Weighting. Journal of Engineering Science and Technology, 12(10), 2792–2804.

Mandal, S., Singh, K., Behera, R.K., Sahu, S.K., Raj, N., and Maiti, J. (2015). Human Error Identification and Risk Prioritization in Overhead Crane Operations Using HTA, SHERPA and Fuzzy VIKOR Method. Expert Systems with Applications, 42(20), 7195–7206.

Ramazzini, C. (2010). Asbestos Is Still with Us: Repeat Call for a Universal Ban. Archives of Environmental & Occupational Health, 65(3), 121–126.

Rathod, M.K., and Kanzaria, H. V. (2011). A Methodological Concept for Phase Change Material Selection Based on Multiple Criteria Decision Analysis with and without Fuzzy Environment. Materials & Design, 32(6), 3578–3585.

Tong, F.S., Chin, S.C., Doh, S.I., and Gimbun, J. (2017). Natural Fiber Composites as Potential External Strengthening Material – A Review. Indian Journal of Science and Technology, 10(2).

Xue, Y.X., You, J.X., Lai, X.D., and Liu, H.C. (2016). An Interval-Valued Intuitionistic Fuzzy MABAC Approach for Material Selection with Incomplete Weight Information. Applied Soft Computing, 38, 703–713.

Yang, S.S., Nasr, N., Ong, S.K., and Nee, A.Y.C. (2017). Designing Automotive Products for Remanufacturing from Material Selection Perspective. Journal of Cleaner Production, 153, 570–579.

PRINT ISSN No.: 2180-1053
E ISSN No.: 2289-8123