Identification of mental disorders in South Africa using complex probabilistic hesitant fuzzy N-soft aggregation information
Abstract This paper aims to address the challenges faced by medical professionals in identifying mental disorders. These mental health issues are an increasing public health concern, and middle-income nations like South Africa are negatively impacted. Mental health issues pose a substantial public h...
Main Authors: | Shahzaib Ashraf, Muneeba Kousar, Gilbert Chambashi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-45991-7 |
Similar Items
-
Simulator selection based on complex probabilistic hesitant fuzzy soft structure using multi-parameters group decision-making
by: Shahzaib Ashraf, et al.
Published: (2023-05-01) -
A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information
by: Shahzaib Ashraf, et al.
Published: (2023-05-01) -
An optimization strategy with SV-neutrosophic quaternion information and probabilistic hesitant fuzzy rough Einstein aggregation operator
by: Jia-Bao Liu, et al.
Published: (2023-06-01) -
An Optimization Strategy for MADM Framework with Confidence Level Aggregation Operators under Probabilistic Neutrosophic Hesitant Fuzzy Rough Environment
by: Muhammad Kamran, et al.
Published: (2023-02-01) -
A promising approach for decision modeling with single-valued neutrosophic probabilistic hesitant fuzzy Dombi operators
by: Kamran Muhammad, et al.
Published: (2023-01-01)