Development of hamming and hausdorff distance metrics for cubic intuitionistic fuzzy hypersoft set in cement storage quality control: Development and evaluation. [PDF]
Saeed M, Saeed MH, Khalid M, Mekawy I.
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A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit. [PDF]
Arshad M +6 more
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Optimizing construction company selection using einstein weighted aggregation operators for q-rung orthopair fuzzy hypersoft set. [PDF]
Zulqarnain RM +5 more
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The Assessment of Medication Effects in Omicron Patients through MADM Approach Based on Distance Measures of Interval-Valued Fuzzy Hypersoft Set. [PDF]
Arshad M +7 more
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Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set With Their Application to Solve MCDM Problem. [PDF]
Zulqarnain RM +5 more
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A Novel Fuzzy Parameterized Fuzzy Hypersoft Set and Riesz Summability Approach Based Decision Support System for Diagnosis of Heart Diseases. [PDF]
Rahman AU +4 more
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Matrices are a unifying concept that permeates diverse fields of study and provides a common framework for expressing and solving problems in all fields, including decision-making. In most decision-making scenarios, addressing uncertainty is paramount as
Muhammad Imran Harl +4 more
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Contra-HyperSoft Set and Contra-SuperHyperSoft Set
A Soft Set is a parameterized family of subsets of a universe, where each parameter selects elements relevant under that condition. A ContraSoft Set is a parameterized soft set in which each parameter’s values are linked with a contradiction degree, and a threshold mechanism is applied to retain only those values that do not exceed a specified level of
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An algorithmic multiple attribute decision-making method for heart problem analysis under neutrosophic hypersoft expert set with fuzzy parameterized degree-based setting. [PDF]
Ihsan M, Saeed M, Alanzi AM, Khalifa HE.
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TreeSoft Set vs. HyperSoft Set and Fuzzy-Extensions of TreeSoft Sets
The TreeSoft Set is more general than the HyperSoft Set. The TreeSoft Set is a union of HyperSoft Sets. To distinguish between the levels of attributes, we use the comma notation i.e. an attribute of level k has k-1 commas in between its indexes.
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