Identification of a Better Laptop with Conflicting Criteria Using TOPSIS
Автор: T. Miranda Lakshmi, V. Prasanna Venkatesan, A. Martin
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 6 vol.7, 2015 года.
Бесплатный доступ
Multi Criteria Decision Making (MCDM) methods are useful for evaluating several complex factors of multiple selection problems. The Multi-Objective problems are an extension of Single-Objective problems. The goal of MCDM is to help the decision maker to make a choice among a finite number of alternatives or to sort or rank a finite set of alternatives in terms of multiple criteria. Among the MCDM methods, the most widely applied method is TOPSIS. It is applied for different kinds of MCDM problems. In laptop selection process, it is difficult to select better laptop because relatively all laptops are seems to be same. By applying the TOPSIS method to the alternatives it is simple to differentiate the laptops from one another. The better laptop has been selected using TOPSIS based on conflicting criteria such as warranty, size, battery life, specification and others. This methodology also has been evaluated by MCDM evaluation metrics such as Time and Space Complexity, Sensitivity Analysis, ranking reversal and relative closeness coefficient.
Multi Criteria Decision Making (MCDM), TOPSIS, evaluation metrics, laptop selection, ranking efficiency
Короткий адрес: https://sciup.org/15013378
IDR: 15013378
Список литературы Identification of a Better Laptop with Conflicting Criteria Using TOPSIS
- Chris I. E., Bell-Hanyes J., (2010), "a model for quantifying strategic supplier selection: evidence from a generic pharmaceutical firm supply chain", international journal of business, marketing, and decision sciences, vol. 3, no. 2.
- Jiang J., Chen Y.W., Tang D.W., Chen Y.W, (2010), "Topsis with belief structure for group belief multiple criteria decision making", international journal of Automation and Computing, vol.7,no.3, pp 359-364.
- Kasirian M.N., Yusuff R.M., (2009), "determining interdependencies among supplier selection criteria", European Journal of Scientific Research, vol.35, no.1, pp 76-84.
- Mohammady Garfamy R., (2005) "supplier selection and business process improvement", doctoral thesis, univesitat autonoma de Barcelona.
- Parthiban P., Mathiyalagan P., Punniyamoorty M., (2010), "optimization of supply chain performance using MCDM tool-a case study", int. J. value chain management, vol 4, no. 3.
- Shirouyehzad H., Dabestani R., (2011) "Evaluating Projects Based on Safety Criteria; Using TOPSIS", 2011 2nd International Conference on Construction and Project Management IPEDR vol.15 Singapur.
- Tahriri, F., Osman, M. R., Ali, A., & Mohd, R., (2008), "A review of supplier selection methods in manufacturing industries", Suranaree Journal of Science and Technology, vol.15, no.3, pp 201-208.
- Toloei Eshlaghy A., Kalantary M., (2011), "Supplier selection by Neo-TOPSIS", applied mathematical sciences, vol.5, no. 17, pp 837-844.
- Wang YM, Elang TMS, (2006), "Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment", Expert Systems, vol.31, pp 309-319.
- Weber C.A., Current J.R., Benton W.C., (1991) "Vendor selection criteria and methods", European Journal of Operational Research 50, pp 2-18.
- Zarbini-Sydani A.H., Karbasi A., Atef-Yekta E., (2011), "evaluating and selecting supplier in textile industry using hierarchical fuzzy TOPSIS", Indian Journal of Science and Technology, vol.4, no. 10, 1322-1334.
- Li Chunhui, Li Aizhen. The Application Of TOPSIS Method To Comprehensive Assessment Of Environmental Quality. Jorunal of Geological Hazard and Environmental Preservation, 1999, 10 (2): 9-13.
- Hu Yonghong. The Improvement of the Application of TOPSIS Method to Comprehensive Evaluation [J]. Mathematics in Practice and Theory. 2002.32 (4) : 572-575.
- H. Li, H. Adeli, J. Sun and J.G. Han. Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction. Computers & Operations Research, 38(2011), 409-419.
- N.Y. Secme, A. Bayrakdaroglu and C. Kahraman. Fuzzy performance evaluation in Turkish banking sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 36(2009), 11699-11709.