6 papers
Representing Higher-Order Networks: A Survey of Graph-Based Frameworks
Takaaki Fujita, Florentin Smarandache
Many real-world phenomena can be naturally represented using graphs and networks. Classical graph models, however, are generally restricted to pairwise interactions and may therefo…
Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications
Takaaki Fujita, Florentin Smarandache
This book presents a comprehensive and systematic survey of graph theory under uncertainty, with particular emphasis on the unifying role of the uncertain graph framework. It revie…
Handbook of Rough Set Extensions and Uncertainty Models
Takaaki Fujita, Florentin Smarandache
Rough set theory models uncertainty by approximating target concepts through lower and upper sets induced by indiscernibility, or more generally, by granulation relations in data t…
Survey of Various Fuzzy and Uncertain Decision-Making Methods
Takaaki Fujita, Florentin Smarandache
Decision-making in real applications is often affected by vagueness, incomplete information, heterogeneous data, and conflicting expert opinions. This survey reviews uncertainty-aw…
A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets
Takaaki Fujita, Florentin Smarandache
Real-world phenomena often exhibit vagueness, partial truth, and incomplete information. To model such uncertainty in a mathematically rigorous way, many generalized set-theoretic…
A Dynamic Survey of Soft Set Theory and Its Extensions
Takaaki Fujita, Florentin Smarandache
Soft set theory provides a direct framework for parameterized decision modeling by assigning to each attribute (parameter) a subset of a given universe, thereby representing uncert…