Decision system framework for performance evaluation of advanced manufacturing technology under fuzzy environment
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Modern world is a competitive world. To survive in this world, every industry must achieve competitiveness. So, it has become the most important task for them to select the best Advanced Manufacturing Technology (AMT). The process involves both quantitative and qualitative factors. The aim of this paper is to solve the problem by Fuzzy TOPSIS method. According to the method of TOPSIS, a closeness co-efficient is determined by calculating the distances to both the Fuzzy positive ideal solution (FPIS) and Fuzzy negative ideal solution (FNIS). Then, a Suitability Index (SI) is calculated by taking into account the Objective Factor Measurement (OFM) to rank the alternatives. Finally, a numerical example using triangular fuzzy numbers is shown to highlight the proposed method.
KeywordsDecision making MCDM Advanced manufacturing technology (AMT) Fuzzy TOPSIS Triangular fuzzy number Suitability index Co-efficient of attitude Sensitivity analysis
The authors acknowledge the support of Jadavpur University, Kolkata, India in carrying out this work.
- 6.Bojadziev, G., Bojadziev, M.: Fuzzy sets, fuzzy logic, applications. In: Advances in fuzzy systems-applications and theory vol. 5. World Scientific, Singapore (1995)Google Scholar
- 18.Kahraman, C., Ulukan, Z.: Fuzzy multi-objective linear programming based justification of advanced manufacturing systems. IEEE. 226–232 (1996)Google Scholar
- 37.Rouse, W.B.: intelligent decision support for advanced manufacturing systems. Am. Soc. Mech. Eng. (1988)Google Scholar