Results 61 to 70 of about 617 (181)
Effective Fuzzy Soft Set Theory and Its Applications
Applied Computational Intelligence and Soft Computing, Volume 2022, Issue 1, 2022., 2022 Fuzzy soft set is the most powerful and effective extension of soft sets which deals with parameterized values of the alternative. It is an extended model of soft set and a new mathematical tool that has great advantages in dealing with uncertain information and is proposed by combining soft sets and fuzzy sets.
Shyi-Ming Chen, Shawkat Alkhazaleh
wiley +1 more source
An Abstract Approach to W-Structures Based on Hypersoft Set with Properties [PDF]
Neutrosophic Sets and Systems, 2022 Hypersoft set is an emerging knowledge of study which is projected to address the limitations of soft set for the entitlement of multi-argument approximate function. This function maps sub-parametric tuples to power set of universe.
Muhammad Saeed +2 more
doaj +1 more source
Entropy and Correlation Coefficients of Neutrosophic and Interval-Valued Neutrosophic Hypersoft Set with application of Multi-Attributive Problems [PDF]
Neutrosophic Sets and Systems, 2022 In computational intelligence, machine learning, image processing, neural networks, medical diagnostics, and decision analysis, the ideas of correlation coefficients and entropy have practical applications. By applying hypersoft set (HSS) in neutrosophic
Muhammad Naveed Jafar +2 more
doaj +1 more source
Concentric Plithogenic Hypergraph based on Plithogenic Hypersoft sets – A Novel Outlook [PDF]
Neutrosophic Sets and Systems, 2020 Plithogenic Hypersoft sets (PHS) introduced by Smarandache are the extensions of soft sets and hypersoft sets and it was further protracted to plithogenic fuzzy whole Hypersoft set to make it more applicable to multi attribute decision making ...
Nivetha Martin , Florentin Smarandache
doaj +1 more source
Representation of Fuzzy Hypersoft Set in Graphs
, 2023 In this study, a novel framework of fuzzy hypersoft graphs (FHS-graphs) is developed which is more flexible as compared to fuzzy soft graphs (FS-graphs) in the sense that it not only generalizes FS-graphs but also tackles its insufficiency for multi-argument approximate function.
Saeed, Muhammad +3 more
openaire +2 more sources
Decision Making Application Based on Neutrosophic Parameterized Hypersoft Set Theory [PDF]
Neutrosophic Sets and Systems, 2021 Hypersoft set is the generalization of soft set as it converts single attribute function to multiattribute function. The core purpose of this study is to make the existing literature regarding neutrosophic parameterized soft set in line with the need of
Atiqe Ur Rahman +2 more
doaj +1 more source
Optimal Supplier Selection Via Decision-Making Algorithmic Technique Based on Single-Valued Neutrosophic Fuzzy Hypersoft Set [PDF]
Neutrosophic Sets and Systems, 2021 Hypersoft set, an extension of soft set, is more flexible and useful as it tackles the limitation of soft set for dealing with scenarios where distinct attributes are further classified into disjoint attribute-valued sets.
Muhammad Saeed +2 more
doaj +1 more source
Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario
Journal of Mathematics, 2021 Hypersoft set is a generalization of soft sets, which takes into account a multiargument function. The main objective of this work is to introduce fuzzy semiopen and closed hypersoft sets and study some of their characterizations and also to present ...
D. Ajay +4 more
doaj +1 more source
Extensión de Soft Set a Hypersoft Set, y luego a Plithogenic Hypersoft Set
, 2023 En este artículo, se generaliza el Soft Set al Hypersoft Set transformando la función F en una función multiatributo. Luego presentamos los híbridos de Crisp, Fuzzy, Intuitionistic Fuzzy, Neutrosophic y Plithogenic Hypersoft Set.
openaire +1 more source
Applied Computational Intelligence and Soft Computing, 2021 Hypersoft set is an emerging field of study that is meant to address the insufficiency and the limitation of existing soft-set-like models regarding the consideration and the entitlement of multi-argument approximate function.
Atiqe Ur Rahman +3 more
doaj +1 more source