A fuzzy set generalizes classical sets by assigning each element a membership value in the interval [0, 1], thereby capturing partial or uncertain membership. A Neutrosophic Set extends fuzzy sets by introducing three independent membership degrees: truth, indeterminacy, and falsity, each ranging within [0, 1].
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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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Evaluating cars is a common multi-attribute decision-making (MADM) problem because it requires considering multiple criteria at once. However, assessing these attributes often involves subjective judgments and incomplete data.
Aram Noori Qadir +2 more
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A robust E learning recommendation system based on novel interval valued bipolar fuzzy hypersoft set theory. [PDF]
Harl MI +4 more
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The primary aim of this study is to address potential inaccuracies in membership values expressed by decision-makers when dealing with uncertainty in complex environments. To achieve this, the concept of virtual logic is incorporated as a refinement mechanism.
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Renewable energy resource management using an integrated robust decision making model under entropy and similarity measures of fuzzy hypersoft set. [PDF]
Saeed MH +7 more
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A fair bed allocation during COVID-19 pandemic using TOPSIS technique based on correlation coefficient for interval-valued pythagorean fuzzy hypersoft set. [PDF]
Zulqarnain RM +4 more
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A Framework for Susceptibility Analysis of Brain Tumours Based on Uncertain Analytical Cum Algorithmic Modeling. [PDF]
Ur Rahman A +7 more
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Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets. [PDF]
Ahmad MR, Afzal U.
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