2026

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Journal year: 2026 | Journal volume: Theoretical Article

scientific article

english

EN Psychological Health is a very important factor in anyone’s life. It may affect both mental and physical health conditions. In this paper, we are interested in finding the weight of the psychological health-related criterion’s and ranking the related alternatives by using the well-known statistical techniques, the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. For the aforementioned problem, we utilise the dataset of Indian women following the COVID-19 pandemic. This study collects data in linguistic terms from decision makers (DMs) who are already experts in the healthcare field. All the data are converted into Generalized Intuitionistic Pentagonal Fuzzy Numbers (GIPFN) to capture the uncertainty of the dataset. Furthermore, a new de-fuzzification method is proposed to de-fuzzify the fuzzy sets. From the given data, analysis the importance of each criterion and assign a weight to it using the AHP methodology. After that, apply the TOPSIS technique to prioritise the health facilities among the different age groups. The numerical illustrations are presented based on different age groups. Lastly, sensitivity analysis and comparative analysis are conducted to demonstrate the applicability of the methodology in psychological health-related applications.

2026

10.1007/s12597-026-01088-z

https://link.springer.com/10.1007/s12597-026-01088-z

CC BY (attribution alone)

open journal

final published version

04.01.2026

at the time of publication

70