Identification of mental disorders in South Africa using complex probabilistic hesitant fuzzy N-soft aggregation information

S Ashraf, M Kousar, G Chambashi - Scientific Reports, 2023 - nature.com
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 …

Early infectious diseases identification based on complex probabilistic hesitant fuzzy N-soft information

S Ashraf, M Kousar, MS Hameed - Soft Computing, 2023 - Springer
This paper aims to assess and deal with the challenges experienced by medical
professionals caring for infectious diseases. In Pakistan, public health is still a serious …

Decision-making analysis based on hesitant fuzzy N-soft ELECTRE-I approach

A Adeel, M Akram, N Çaǧman - Soft Computing, 2022 - Springer
For the formal expression of uncertain data, hesitant fuzzy set theory has established itself
as a distinguished model because it has a broad use in multi-attribute decision-making …

The hesitant fuzzy soft set and its application in decision-making

S Das, S Kar - Facets of Uncertainties and Applications: ICFUA …, 2015 - Springer
This article introduces the concept of hesitant fuzzy soft set (HFSS) by combining Torra's
(2010) hesitant fuzzy set and Molodtsov's (1999) soft set theory. In order to handle uncertain …

A robust correlation coefficient measure of dual hesitant fuzzy soft sets and their application in decision making

R Arora, H Garg - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
The objective of this work is to present novel correlation coefficients for measuring the
relationship between two dual hesitant fuzzy soft set (DHFSSs). In the existing studies of …

Dual hesitant fuzzy soft aggregation operators and their application in decision-making

H Garg, R Arora - Cognitive Computation, 2018 - Springer
Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding a
parameterization factor during the process as compared to fuzzy and intuitionistic fuzzy set …

Hesitant fuzzy N-soft sets: A new model with applications in decision-making

M Akram, A Adeel… - Journal of Intelligent & …, 2019 - content.iospress.com
Hesitant fuzzy set theory is a renowned approach to the formal modeling of uncertain data.
An evidence of its success is that it has been extensively used in multi-attribute decision …

Correlation measure of hesitant fuzzy soft sets and their application in decision making

S Das, D Malakar, S Kar, T Pal - Neural Computing and Applications, 2019 - Springer
Hesitant fuzzy soft set (HFSS) allows each element to have different number of parameters
and the values of those parameters are represented by multiple possible membership …

[PDF][PDF] Simulator selection based on complex probabilistic hesitant fuzzy soft structure using multi-parameters group decision-making

S Ashraf, H Garg, M Kousar, S Askar, S Abbas - AIMS Math., 2023 - aimspress.com
Simulation software replicates the behavior of real electrical equipment using mathematical
models. This is efficient not only in regard to time savings but also in terms of investment. It …

New distance and similarity measures for hesitant fuzzy soft sets

K Rezaei, H Rezaei - Iranian Journal of Fuzzy Systems, 2019 - ijfs.usb.ac.ir
The hesitant fuzzy soft set (HFSS), as a combination of hesitant fuzzy and soft sets, is
regarded as a useful tool for dealing with the uncertainty and ambiguity of real-world …