Neutrosophic fusion of rough set theory: An overview
C Zhang, D Li, X Kang, D Song, AK Sangaiah… - Computers in …, 2020 - Elsevier
Neutrosophic sets (NSs) and logic are one of the influential mathematical tools to manage
various uncertainties. Among diverse models for analyzing neutrosophic information, rough …
various uncertainties. Among diverse models for analyzing neutrosophic information, rough …
[HTML][HTML] A systematic literature review of soft set theory
Soft set theory, initially introduced through the seminal article “Soft set theory—First results”
in 1999, has gained considerable attention in the field of mathematical modeling and …
in 1999, has gained considerable attention in the field of mathematical modeling and …
Group decision-making methods based on hesitant N-soft sets
In this article, we introduce a new hybrid model called hesitant N-soft sets by a suitable
combination of hesitancy with N-soft sets, a model that extends N-soft sets. Our novel …
combination of hesitancy with N-soft sets, a model that extends N-soft sets. Our novel …
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach
Occupational risk assessment (ORA) is a process that consists of evaluating, ranking, and
classifying the hazards and associated risks arising in any workplace from the viewpoint of …
classifying the hazards and associated risks arising in any workplace from the viewpoint of …
Parameter reductions in N‐soft sets and their applications in decision‐making
Parameter reduction is an important operation for improving the performance of decision‐
making processes in various uncertainty theories. The theory of N‐soft sets is emerging as a …
making processes in various uncertainty theories. The theory of N‐soft sets is emerging as a …
Intuitionistic fuzzy hypersoft sets
In this paper, a new environment namely, intuitionistic fuzzy hypersoft set (IFHSS) is defined.
We introduce some fundamental operators of intuitionistic fuzzy hypersoft sets such as …
We introduce some fundamental operators of intuitionistic fuzzy hypersoft sets such as …
Bipolar fuzzy soft information applied to hypergraphs
Soft set theory is the most developed tool for demonstrating uncertain, vague, not clearly
defined objects in a parametric manner. Bipolar uncertainty incorporates a significant role in …
defined objects in a parametric manner. Bipolar uncertainty incorporates a significant role in …
A new classification method using soft decision-making based on an aggregation operator of fuzzy parameterized fuzzy soft matrices
Recently, a precise and stable machine learning algorithm, ie eigenvalue classification
method (EigenClass), has been developed by using the concept of generalised eigenvalues …
method (EigenClass), has been developed by using the concept of generalised eigenvalues …
A human-centered artificial intelligence approach for privacy protection of elderly App users in smart cities
Abstract Artificial Intelligence and Machine Learning based Ambient Assisted Living systems
play an important role in smart cities by improving the quality of life of the elderly population …
play an important role in smart cities by improving the quality of life of the elderly population …
Granulation of ecological networks under fuzzy soft environment
M Akram, A Luqman - Soft Computing, 2020 - Springer
The main idea of this work is the exploration of granular structures by applying the hybrid
models of fuzzy soft sets and fuzzy soft graphs to discuss the indiscernibility partition of set of …
models of fuzzy soft sets and fuzzy soft graphs to discuss the indiscernibility partition of set of …