Abstract
Sometimes, information needed an objectively evaluation. It is hard to determine the value of some parameters because of their uncertain or ambiguous nature. However, most of the study neglected the qualitative evaluation. This paper aims to propose a new qualitative evaluation which considers three different aspects which are linguistic to crisp, the unconvinced decision and in between. This new qualitative evaluation is developed to produce an optimal preference ranking of an integrated fuzzy TOPSIS and multi-choice goal programming MCGP in interval type-2 fuzzy sets (IT2 FSs) aspects. An example is used to illustrate the proposed method. The results show that the qualitative evaluation in the new method is suitable for the integrated interval type-2 fuzzy TOPSIS and MCGP. Results are consistent with the numerical example. This new method offers a new dimension to type-2 fuzzy group decision-making environment.
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References
Misra, S.K., Ray, A.: Integrated AHP-TOPSIS Model for Software Selection Under Multi-criteria Perspective. In: Driving the Economy through Innovation and Entrepreneurship, pp. 879–890 (2013)
Wittstruck, D., Teuteberg, F.: Integrating the Concept of Sustainability into the Partner Selection Process: A fuzzy-AHP-TOPSIS Approach. International Journal of Logistics Systems and Management 12, 195–226 (2012)
Mofarrah, A., Husain, T., Hawboldt, K.: Decision Making for Produced Water Management: An Integrated Multi-Criteria Approach. International Journal of Environmental Technology and Management 16, 102–128 (2013)
Haldar, A., Banerjee, D., Ray, A., Ghosh, S.: An Integrated Approach for Supplier Selection. Procedia Engineering 38, 2087–2102 (2012)
Hsu, C.-H., Yang, C.-M., Yang, C.-T., Chen, K.-S.: An Integrated Approach for Innovative Product Development and Optimal Manufacturer Selection. International Journal of Information and Management Sciences 24, 107–116 (2013)
Mirhedayatian, S.M., Vahdat, S.E., Jelodar, M.J., Saen, R.F.: Welding Process Selection for Repairing Nodular Cast Iron Engine Block by Integrated Fuzzy Data Envelopment Analysis and TOPSIS Approaches. Materials and Design 43, 272–282 (2013)
Kamis, N.H., Daud, M., Sulaiman, N.H., Abdullah, K., Ibrahim, I.: An Integrated Fuzzy Approach to Solving Multi-Criteria Decision Making Problems. In: IEEE Symposium on Humanities, Science and Engineering Research (SHUSER), pp. 1591–1596 (2012)
Nakhaeinejad, M., Nahavandi, N.: An Interactive Algorithm for Multi-Objective Flow Shop Scheduling with Fuzzy Processing Time through Resolution Method and TOPSIS. International Journal of Advanced Manufacturing Technology 66, 1047–1064 (2013)
Shidpour, H., Shahrokhi, M., Bernard, A.: A multi-objective programming approach, integrated into the TOPSIS method, in order to optimize product design; In three-dimensional concurrent engineering. Computers and Industrial Engineering 64, 875–885 (2013)
Jozi, S.A., Shafiee, M., Moradi Majd, N., Saffarian, S.: An Integrated Shannon’s Entropy–TOPSIS Methodology for Environmental Risk Assessment of Helleh Protected Area in Iran. Environmental Monitoring and Assessment 184, 6913–6922 (2012)
Iç, Y.T.: An Experimental Design Approach using TOPSIS Method for the Selection of Computer-Integrated Manufacturing Technologies. Robotics and Computer-Integrated Manufacturing 28, 245–256 (2012)
Khalili-Damghani, K., Tavana, M., Sadi-Nezhad, S.: An Integrated Multi-Objective Framework for Solving Multi-Period Project Selection Problems. Applied Mathematics and Computation 219, 3122–3138 (2012)
Yu, V.F., Hu, K.-J.: An Integrated Fuzzy Multi-Criteria Approach for the Performance Evaluation of Multiple Manufacturing Plants. Computers and Industrial Engineering 58, 269–277 (2010)
Chen, S.-M., Lee, L.-W.: Fuzzy Multiple Attributes Group Decision-Making based on the Ranking Values and the Arithmetic Operations of Interval Type-2 Fuzzy Sets. Expert Systems with Applications 37, 824–833 (2010)
Chen, S.-M., Lee, L.-W.: Fuzzy Multiple Attributes Group Decision-Making based on the Interval Type-2 TOPSIS Method. Journal of Expert Systems with Application 37, 2790–2798 (2010)
Celik, E., Bilisik, O.N., Erdogan, M., Gumus, A.T., Baracli, H.: An Integrated Novel Interval Type-2 Fuzzy MCDM Method to Improve Customer Satisfaction in Public Transportation for Istanbul. Transportation Research Part E 58, 28–51 (2013)
Liou, T.S., Wang, M.T.: Ranking Fuzzy Numbers with Integral Value. Fuzzy Sets and Systems 50, 247–255 (1992)
Liao, C.-N., Kao, H.-P.: An Integrated Fuzzy TOPSIS and MCGP Approach to Supplier Selection in Supply Chain Management. Expert Systems with Applications 38, 10803–10811 (2011)
Schrage, L.: LINGO Release 8.0. LINDO System, Inc. (2002)
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Zamri, N., Abdullah, L. (2014). A New Qualitative Evaluation for an Integrated Interval Type-2 Fuzzy TOPSIS and MCGP. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_8
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DOI: https://doi.org/10.1007/978-3-319-07692-8_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07691-1
Online ISBN: 978-3-319-07692-8
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