A progressive approach to multi-criteria group decision-making: N-bipolar hypersoft topology perspective. [PDF]
This paper investigates N-bipolar hypersoft topology (N-BHST), a novel extension of both the well-established N-hypersoft topology (N-HST) and hypersoft topology (HST).
Musa SY, Asaad BA.
europepmc +9 more sources
A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector. [PDF]
Addressing uncertainty is paramount in all decision-making scenarios to ensure robust, well-informed outcomes that can adapt to unforeseen changes and risks.
Harl MI +4 more
europepmc +6 more sources
Topological Structures via Bipolar Hypersoft Sets
In this article, we introduce bipolar hypersoft topological spaces over the collection of bipolar hypersoft sets. It is proven that a bipolar hypersoft topological space gives a parametrized family of hypersoft topological spaces, but the converse does ...
Baravan A. Asaad, Sagvan Y. Musa
core +4 more sources
Neutrosophic Hypersoft Topological Spaces [PDF]
Hypersoft sets have gained more importance as a generalization of soft sets and have been investigated for possible extensions in many fields of mathematics.
J. Joseline Charisma, D. Ajay
core +4 more sources
Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario
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 ...
G. Rajchakit +4 more
core +3 more sources
Hypersoft sets on nearness approximation space and its topology
Hypersoft set theory represents an advanced version to soft set theory, offering enhanced capabilities for addressing uncertainty. By combining hypersoft set theory with nearness approximation spaces, a novel mathematical model known as near hypersoft ...
Hatice Tasbozan
exaly +4 more sources
Algorithms for Multipolar Interval-Valued Neutrosophic Soft Set with Information Measures to Solve Multicriteria Decision-Making Problem. [PDF]
Similarity measures (SM) and correlation coefficients (CC) are used to solve many problems. These problems include vague and imprecise information, excluding the inability to deal with general vagueness and numerous information problems. The main purpose of this research is to propose an m‐polar interval‐valued neutrosophic soft set (mPIVNSS) by ...
Zulqarnain RM +3 more
europepmc +2 more sources
Hypersoft Topological Spaces [PDF]
Smarandache [48] introduced the concept of hypersoft set which is a generalization of soft set. This notion is more adaptable than soft set and more suited to challenges involving decision-making. Consequently, topology defined on the collection of hypersoft sets will be in great importance.
Sagvan Y. Musa, Baravan A. Asaad
openaire +3 more sources
Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set With Their Application to Solve MCDM Problem. [PDF]
Zulqarnain RM +5 more
europepmc +2 more sources
Bipolar fuzzy sets (BFSs) are effective tool for dealing with bipolarity and fuzziness. The sine trigonometric functions having two significant features, namely, periodicity and symmetry about the origin, are helping in decision analysis and information analysis.
Muhammad Riaz +4 more
wiley +1 more source

