Abstract
In this paper, the three-parameter characterization of intuitionistic fuzzy sets and normalized hamming distance are employed to develop mathematical programming-based TOPSIS techniques in interval-valued intuitionistic fuzzy settings. A pair of linear fractional programming models are generated which are simplified for producing intervals to measure relative closeness coefficients of alternatives. Possibility degree matrix is obtained by pairwise comparisons of closeness coefficients and optimal degrees are estimated for final ranking of alternatives. The proposed approach is illustrated through a numerical example.
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The authors are thankful to the anonymous reviewers for their valuable comments and suggestions in improving the quality of the manuscript.
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Biswas, A., Kumar, S. (2018). An Integrated TOPSIS Approach to MADM with Interval-Valued Intuitionistic Fuzzy Settings. In: Bhattacharyya, S., Chaki, N., Konar, D., Chakraborty, U., Singh, C. (eds) Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing, vol 706. Springer, Singapore. https://doi.org/10.1007/978-981-10-8237-5_52
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DOI: https://doi.org/10.1007/978-981-10-8237-5_52
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