Rainfall Analysis using FUCOM Weighted Logarithmic Distance Measure Based on Probabilistic Dual Hesitant Preference Values

Rohit, Kamal Kumar, Reeta Bhardwaj and Gagandeep Kaur ()
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Rohit: Amity University Haryana
Kamal Kumar: Amity University Haryana
Reeta Bhardwaj: Amity University Haryana
Gagandeep Kaur: Amity University Haryana

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2025, vol. 39, issue 1, No 11, 207-226

Abstract: Abstract Rainfall analysis is an area of primary concern because of the involved uncertainties. These uncertainties may be pertaining to the unambiguous nature of data, intrinsic errors involved due to rainfall randomness and unpredictability. To tackle such situations of uncertainties, probabilistic dual hesitant sets (PDHFSs) are the best fit. The information gathered in the form of PDHFSs not only contain the aspect of surety/unsurety, but also consider the associated probable information. The presented article aims to provide a structured way to analyze rainfall on the basis of certain set of criteria subjected to different geographical regions. The proposed method involves development of a logarithmic measure and its deployment in rainfall analysis using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Combinative Distance based Assessment (CODAS) based on weight determination using Full Consistency Method (FUCOM) technique. The proposed methodology is applied on a problem based on rainfall analysis and a detailed comparison analysis is done with the existing methodologies. Finally, the article results in a structured way to rank the highest rainfall in the year-wise manner.

Keywords: Probabilistic dual hesitant fuzzy sets; Logarithmic distance; TOPSIS; CODAS; Rainfall analysis; FUCOM; Water management (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11269-024-03967-w

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