Results 21 to 30 of about 617 (181)
A New Approach to Neutrosophic Hypersoft Rough Sets. [PDF]
The aim of this work is to introduce the new notion of Neutrosophic hypersoft rough set and study its properties. Neutrosophic hypersoft rough set is a generalization of Neutrosophic soft rough set. The notion of Neutrosophic hypersoft rough set has not been reported in the literature.
V.S. Subha, R. Selvakumar
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N-Hypersoft Sets: An Innovative Extension of Hypersoft Sets and Their Applications [PDF]
This paper introduces N-hypersoft (N-HS) sets—an enriched and versatile extension of hypersoft (HS) sets—designed to handle evaluations involving both binary and non-binary data while embodying an inherent sense of structural symmetry. The paper presents several algebraic definitions, including incomplete N-HS sets, efficient N-HS sets, normalized N-HS
Sagvan Y. Musa +2 more
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Single and Multi-valued Neutrosophic Hypersoft set and Tangent Similarity Measure of Single valued Neutrosophic Hypersoft Sets [PDF]
Dans cet article, nous présentons un ensemble hypersoft neutrosophique à valeur unique, un ensemble hypersoft neutrosophique à valeurs multiples et une mesure de similitude tangente pour les ensembles hypersoft neutrosophiques à valeur unique et ses propriétés.
Muhammad Saqlain +4 more
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Neutrosophic Hypersoft Expert Set: Theory and Applications [PDF]
Soft set-like models deal with single argument approximate functions while hypersoft set, an extension of the soft set, deals with multi-argument approximate functions. The soft set cannot handle situations when attributes are required to be further divided into disjoint attribute-valued sets.
Muhammad Ihsan +2 more
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This is an improved paper of [10], where we recall the definitions together with practical applications of the Soft Set and its extensions to HyperSoft Set, IndetermSoft Set, IndetermHyperSoft Set, and TreeSoft Set.
Florentín Smarandache
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Fundamentals of Picture Fuzzy Hypersoft Set with Application
Theory of picture fuzzy soft set and generalized picture fuzzy soft sets(GPFSS) extended to picture fuzzy hypersoft sets (PFHSS) and generalized picture fuzzy hypersoft set (GPFHSS) respectively handle the uncertainties and multi-attribute values in the material during evaluation.
Muhammad Saeed, Muhammad Imran Harl
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Decision-Making Application Based on Aggregations of Complex Fuzzy Hypersoft Set and Development of Interval-Valued Complex Fuzzy Hypersoft Set [PDF]
t. Hypersoft set, an extension of soft set, deals with disjoint attribute-valued sets corresponding to distinct attributes. In this study, the innovation of complex fuzzy hypersoft set (CFH-set) is conferred, which can tackle with uncertainties and vagueness that lie in the data by taking into account the amplitude and phase terms of the complex ...
Atiqe Ur Rahman +4 more
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Convex and Concave Hypersoft Sets with Some Properties [PDF]
Convexity plays an imperative role in optimization, pattern classication and recognition, image processing and many other relating topics in dierent elds of mathematical sciences like operation research, numerical analysis etc. The concept of soft sets was rst formulated by Molodtsov as a completely new mathematical tool for solving problems dealing ...
Atiqe Ur Rahman +2 more
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Generalized Aggregate Operators on Neutrosophic Hypersoft Set [PDF]
Multi-criteria decision making (MCDM) is concerned about coordinating as well as looking after selection as well as planning problems which included multi-criteria. The neutrosophic soft set cannot handle the environment which involved more than one attribute. To overcome those hurdles neutrosophic hypersoft set (NHSS) is defined.
Rana Muhammad Zulqarnain +3 more
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Introduction to Combined Plithogenic Hypersoft Sets [PDF]
Plithogenic Hypersoft sets was introduced by Florentin Smarandache, who has extended crisp sets, fuzzy sets, intuitionistic sets, neutrosophic sets to plithogenic sets. The plithogenic sets considers the degree of appurtenance of the elements with respect to the attribute system. Smarandache has presented the classification of the plithogenic hypersoft
Nivetha Martin, Florentin Smarandache
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