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 Riaz +2 more
exaly +3 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 +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
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 +3 more sources
Tangent, Cosine, and Ye Similarity Measures of m-Polar Neutrosophic Hypersoft Sets [PDF]
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 [PDF]
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
A Similarity Measures-Based TOPSIS Method for Neutrosophic Hypersoft Set with Application in Crop Production [PDF]
Neutrosophic sets and hypersoft sets are both fuzzy set extensions that deal with various aspects of uncertainty and missing data. Combining these two frameworks within Multi-Criteria Decision-Making (MCDM) allows choosing an optimal solution from a wide range of scenarios and alternatives.
Vijay Govindarajan +4 more
openaire +3 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 +5 more sources
Similarity measure and sine exponential measure of possibility interval-valued neutrosophic hypersoft sets and their applications [PDF]
The Hypersoft set (HSS) has been created as an extension of a soft set (SS) in order to address limitations for the thought of disjoint attribute-valued sets corresponding to distinct attributes.
Eman Hussein,Yousef Al-Qudah +4 more
doaj +5 more sources
New Energy Vehicle Industry Chain Evaluation by Developing Decision-Making Methodology with HyperSoft Set and Neutrosophic Sets [PDF]
The New Energy Vehicle (NEV) industry has emerged as a crucial sector in the global transition toward sustainable transportation. This study proposed a decision-making methodology for NEV industry chain evaluation.
Lulu Shi
doaj +5 more sources

