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Classification of water quality using interval TOPSIS method

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Abstract

In this paper, Multi-Criteria Decision Making (MCDM) approach called Interval-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) has been introduced to assess the effectiveness of choice alternatives based on a number of criteria. It modifies the conventional TOPSIS approach to handle interval-valued data, which conveys that the criterion values are expressed as range instead of single numbers. Relative closeness coefficients have been determined in this present approach. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process. In this paper, the best water quality among 5 sets of water has been found, using the proposed Interval-TOPSIS approach and then the results are compared to conventional TOPSIS and SAW approach.

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The datasets generated from https://www.kaggle.com/datasets/adityakadiwal/water-potability.

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by SR, Debabrata Datta and SC. The first draft of the manuscript was written by SR and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Sudipta Roy.

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Roy, S., Datta, D. & Chatterjee, S. Classification of water quality using interval TOPSIS method. OPSEARCH (2024). https://doi.org/10.1007/s12597-024-00762-4

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