A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets
Takaaki Fujita, Florentin Smarandache

TL;DR
This paper provides a comprehensive survey of various generalized set theories like fuzzy, intuitionistic fuzzy, neutrosophic, and plithogenic sets, highlighting their developments, structural patterns, and applications across multiple disciplines.
Contribution
It offers a unified, large-scale overview of these set theories, fostering new insights and extensions in the field of uncertainty modeling.
Findings
Extensive literature on fuzzy, intuitionistic fuzzy, neutrosophic, and plithogenic sets.
Identification of recurring ideas and structural patterns across theories.
Stimulates further research and applications in uncertainty modeling.
Abstract
Real-world phenomena often exhibit vagueness, partial truth, and incomplete information. To model such uncertainty in a mathematically rigorous way, many generalized set-theoretic frameworks have been introduced, including Fuzzy Sets [1], Intuitionistic Fuzzy Sets [2], Neutrosophic Sets [3,4], Vague Sets [5], Hesitant Fuzzy Sets [6], Picture Fuzzy Sets [7], Quadripartitioned Neutrosophic Sets [8], Penta-Partitioned Neutrosophic Sets [9], Plithogenic Sets [10], HyperFuzzy Sets [11], and HyperNeutrosophic Sets [12]. Within these frameworks, a wide range of notions has been proposed and studied, particularly in the settings of fuzzy, intuitionistic fuzzy, neutrosophic, and plithogenic set theories. This extensive literature underscores both the significance of these theories and the breadth of their application areas. As a result, many ideas, constructions, and structural patterns recur…
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Taxonomy
TopicsMulti-Criteria Decision Making · Fuzzy and Soft Set Theory · Intuitionistic Fuzzy Systems Applications
