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An improved-based TOPSIS method in interval-valued intuitionistic fuzzy environment

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Abstract

In supply chain management, one of the important criteria is the selection of suitable suppliers. It is the quality and the timely supply of the different items by the supplier, so that the customers are satisfied to maintain the success of a business. In this paper, we considered a fuzzy multi-objective linear programming solution model for a supplier selection problem. In the model, first, the objectives and constraints are weighted using TOPSIS method; and then, using these weights, membership function for objective functions are constructed. Now, applying the membership function and weights, the multi-objective programming problem is transformed to an equivalent linear programming problem for getting the solution of the multi-criteria supplier selection problem. The proposed algorithm provides better performance results in comparison to other methods available in the literature.

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Authors and Affiliations

  1. Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India

    Surendra Singh Gautam,  Abhishekh & Shiva Raj Singh

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  1. Surendra Singh Gautam
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  2. Abhishekh
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  3. Shiva Raj Singh
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Correspondence to Surendra Singh Gautam.

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Gautam, S.S., Abhishekh & Singh, S.R. An improved-based TOPSIS method in interval-valued intuitionistic fuzzy environment. Life Cycle Reliab Saf Eng 7, 81–88 (2018). https://doi.org/10.1007/s41872-018-0042-z

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  • DOI: https://doi.org/10.1007/s41872-018-0042-z

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