An Overview of Plithogenic Set and Symbolic Plithogenic Algebraic Structures [PDF]
, 2023 This paper is devoted to Plithogeny, Plithogenic Set, and its extensions. These concepts are branches of uncertainty and indeterminacy instruments of practical and theoretical interest.
Smarandache, Florentin
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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]
Bioengineering (Basel), 2022 Arshad M +7 more
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Introduction to Plithogenic Logic as generalization of MultiVariate Logic [PDF]
, 2021 A Plithogenic Logical proposition P is a proposition that is characterized by many degrees of truth-values with respect to many corresponding attribute-values (or random variables) that characterize P.
Smarandache, Florentin
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A Concise Introduction to HyperFuzzy, HyperNeutrosophic, HyperPlithogenic, HyperSoft, and HyperRough Sets with Practical Examples [PDF]
Various set concepts are widely recognized for effectively a ddressing u ncertainty, i ncluding fuzzy sets, neutrosophic sets, plithogenic sets, rough sets, and soft sets.
Florentin Smarandache, Takaaki Fujita
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An approach in medical diagnosis based on Z-numbers soft set. [PDF]
PLoS One, 2022 Zhao H, Xiao Q, Liu Z, Wang Y.
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An approach to decision-making via picture fuzzy soft graphs. [PDF]
Granul Comput, 2022 Chellamani P +3 more
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Soft Set Product Extended to HyperSoft Set and IndetermSoft Set Product Extended to IndetermHyperSoft Set [PDF]
, 2022 In this paper we define the Soft Set Product as a product of many soft sets and afterwards we extend it to the HyperSoft Set. Similarly, the IndetermSoft Product is extended to the IndetermHyperSoft Set.
Smarandache, Florentin
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Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions. [PDF]
Complex Intell Systems, 2023 Alamoodi AH +12 more
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Indian Journal Of Science And Technology, 2023 R Hema, R Sudharani, M Kavitha
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A study on hyperfuzzy hyperrough sets, hyperneutrosophic hyperrough sets, and hypersoft hyperrough sets with applications in cybersecurity [PDF]
Rough Sets approximate subsets by defining lower and upper bounds, effectively capturing uncertainty through equivalence classes or indiscernibility relations. Additionally, concepts such as Fuzzy Sets, Neutrosophic Sets, and Soft Sets are well-known for
Fujita, Takaaki
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