Abstract

Evaluation of supplier relies heavily on previous experiences and human judgments which are vague and uncertain. Fuzzy approach has been applied extensively to deal with subjectivity, using fixed fuzzy numbers corresponding to its linguistic values. However, these fuzzy numbers do not necessarily reflect actual respondents’ opinions. This paper proposed a two-phased fuzzy multi-criteria decision making method in selecting supplier. First, triangular fuzzy numbers were developed based on respondents’ rating on the appropriate scale of 0–100 for seven-scale linguistic terms. Then, fuzzy evaluation method was applied to rank the best supplier based on three main criteria. Results from a case study in an Information Technology (IT) department showed that Supplier 1 is the best supplier among the four supplier candidates. It is hoped that the evaluation results via these fuzzy numbers gave a significant meaning towards their decision making.

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References

  1. Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.

    Article  Google Scholar 

  2. Kilincci, O., & Onal, S. A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38, 9656–9664.

    Article  Google Scholar 

  3. Shaw, K., Shankar, R., Yadav, S. S., & Thakur, L. S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for develo** low carbon supply chain. Expert Systems with Applications, 39, 8182–8192.

    Article  Google Scholar 

  4. Wang, C. H., & Chen, S. M. (2008). Appraising the performance of high school teachers based on fuzzy number arithmetic operations. Soft Computing – A Fusion of Foundations, Methodologies and Applications, 12, 919–934.

    Google Scholar 

  5. Ma, M., Friedman, M., & Kandel, A. (1999). A new fuzzy arithmetic. Fuzzy Sets and Systems, 108, 83–90.

    Article  Google Scholar 

  6. Abbasbandy, S., & Asady, B. (2006). Ranking of fuzzy numbers by sign distance. Information Sciences, 176, 2405–2416.

    Article  Google Scholar 

  7. Abdolvand, M. A., Toloie, A., & Taghiouryan, M. J. (2008). The evaluation of custom service quality by SERVQUAL Fuzzy (pp. 367–380). Proceedings of applied international business conference, Sarawak, Malaysia.

    Google Scholar 

  8. Asady, B., & Zendehnam, A. (2007). Ranking fuzzy numbers by distance minimization. Applied Mathematical Modelling, 31, 2589–2598.

    Article  Google Scholar 

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Acknowledgments

This research is supported under the grant “Dana Kecemerlangan.” We would like to thank the Research Management Institute (RMI), Universiti Teknologi MARA, and Penyelidikan & Jaringan Industri (PJI), Universiti Teknologi MARA, Pahang for their support.

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Correspondence to Fairuz Shohaimay .

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Shohaimay, F., Ramli, N., Mohamed, S.R. (2014). Fuzzy Multi-criteria Decision Making for Evaluation of IT Supplier. In: Kasim, A., Wan Omar, W., Abdul Razak, N., Wahidah Musa, N., Ab. Halim, R., Mohamed, S. (eds) Proceedings of the International Conference on Science, Technology and Social Sciences (ICSTSS) 2012. Springer, Singapore. https://doi.org/10.1007/978-981-287-077-3_65

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