A study on neutrosophic soft set and neutrosophic hypersoft set [PDF]
This paper mainly intends to verify whether the basic laws of set theory apply in the Neutrosophic Soft Set (NSS). The laws examined in this paper for NSS include Commutative law, Associative law, Distributive law, Involution law, Idempotent law, and ...
Hema Rengaswamy +2 more
doaj +2 more sources
Distance and Similarity Measures for Neutrosophic HyperSoft Set (NHSS) With Construction of NHSS-TOPSIS and Applications [PDF]
Neutrosophic HyperSoft Set (NHSS) is a new approach towards computational intelligence and decision making under uncertainty. In this paper, we first consider distances for NHSS, and then propose similarity measures for NHSS. We also consider aggregated operation for aggregating NHSS decision matrix.
Muhammad Saqlain +2 more
exaly +3 more sources
Entropy and Correlation Coefficients of Neutrosophic and Interval-Valued Neutrosophic Hypersoft Set with application of Multi-Attributive Problems [PDF]
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 +2 more sources
Approach to Multi-Criteria Decision-Making in a Neutrosophic Picture Hyper-Soft Set Environment using Generalized Neutrosophic TOPSIS [PDF]
Given the complexity of today’s world, we might need to work with numbers requiring multi-attribute functions, such as those having positive, neutral, and negative membership and those having truth, indeterminacy, and falsity membership.
Manpreet Kaur , Akanksha Singh
doaj +2 more sources
Multicriteria Decision‐Making Approach for Aggregation Operators of Pythagorean Fuzzy Hypersoft Sets [PDF]
The Pythagorean fuzzy hypersoft set (PFHSS) is the most advanced extension of the intuitionistic fuzzy hypersoft set (IFHSS) and a suitable extension of the Pythagorean fuzzy soft set. In it, we discuss the parameterized family that contracts with the multi‐subattributes of the parameters. The PFHSS is used to correctly assess insufficiencies, anxiety,
Imran Siddique +5 more
wiley +2 more sources
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.
Nivetha Martin, Florentin Smarandache
doaj +2 more sources
A Novel Approach for Characterizing Solutions of Rough Optimization Problems Based on Boundary Region [PDF]
Rough set theory, presented by Pawlak in 1981, is one of the most well‐known methods for communicating ambiguity by estimating an item based on some knowledge rather than membership. The concept of a rough function and its convexity and differentiability in regard to its boundary region are discussed in this work.
Hamiden Abd El- Wahed Khalifa +4 more
wiley +2 more sources
Tangent, Cosine, and Ye Similarity Measures of m-Polar Neutrosophic Hypersoft Sets
In our daily lives, most of the problems are created due to wrong decisions. Similarity measures are very useful to make good decisions. In this manuscript, different similarities like Tangent, Ye, and Cosine similarity of m polar neutrosophic hypersoft sets and their comparison is presented.
Mahrukh Irfan +3 more
openaire +2 more sources
Neutrosophic Hypersoft Matrices with Application to Solve Multiattributive Decision-Making Problems
The concept of the neutrosophic hypersoft set (NHSS) is a parameterized family that deals with the subattributes of the parameters and is a proper extension of the neutrosophic soft set to accurately assess the deficiencies, anxiety, and uncertainty in ...
Rana Muhammad Zulqarnain +5 more
doaj +2 more sources
Neutrosophic Linguistic valued Hypersoft Set with Application: Medical Diagnosis and Treatment [PDF]
Language is closely connected to the concepts of uncertainty and indeterminacy, as it functions as a fundamental tool for the expression and communication of information. Linguistic formulations possess inherent qualities of ambiguity, imprecision, and vagueness.
Muhammad Saqlain +2 more
openaire +4 more sources

