Fuzzy sets and soft sets are two different soft computing models for representing vagueness and uncertainty. We apply these soft computing models in combination to study vagueness and uncertainty in graphs. We introduce the notions of hesitant fuzzy soft graphs, strong hesitant fuzzy soft graphs, complete hesitant fuzzy soft graphs, order of hesitant fuzzy soft graphs, and size of hesitant fuzzy soft graphs
Abstract – A new hybrid structure- hesitant fuzzy soft set, involving soft set is introduced. Soft s...
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy...
In this paper, we introduce some operations on hesitant fuzzy soft sets and discuss some of their pr...
Mathematical modelling, analysis and computing of problems with uncertainty is one of the hottest ar...
AbstractMathematical modelling, analysis and computing of problems with uncertainty is one of the ho...
Fuzzy sets, rough sets and soft sets are different tools for modeling problems involving uncertainty...
AbstractMathematical modelling, analysis and computing of problems with uncertainty is one of the ho...
Soft set theory and rough set theory are two new tools to discuss uncertainty. Graph theory is a nic...
Molodtsov’s theory of soft sets is free from the parameterizations insufficiency of fuzzy set theory...
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy...
The theory of soft set offers a mathematical tool to deal with uncertainty introduced by D. Molostov...
This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory....
The early publications in the theory of fuzzy sets by Zadeh and Goguen show the intention to general...
Molodtsov introduced the concept of soft set theory, which can be used as a generic mathematical too...
Molodtsov introduced the concept of soft set theory, which can be used as a generic mathematical too...
Abstract – A new hybrid structure- hesitant fuzzy soft set, involving soft set is introduced. Soft s...
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy...
In this paper, we introduce some operations on hesitant fuzzy soft sets and discuss some of their pr...
Mathematical modelling, analysis and computing of problems with uncertainty is one of the hottest ar...
AbstractMathematical modelling, analysis and computing of problems with uncertainty is one of the ho...
Fuzzy sets, rough sets and soft sets are different tools for modeling problems involving uncertainty...
AbstractMathematical modelling, analysis and computing of problems with uncertainty is one of the ho...
Soft set theory and rough set theory are two new tools to discuss uncertainty. Graph theory is a nic...
Molodtsov’s theory of soft sets is free from the parameterizations insufficiency of fuzzy set theory...
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy...
The theory of soft set offers a mathematical tool to deal with uncertainty introduced by D. Molostov...
This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory....
The early publications in the theory of fuzzy sets by Zadeh and Goguen show the intention to general...
Molodtsov introduced the concept of soft set theory, which can be used as a generic mathematical too...
Molodtsov introduced the concept of soft set theory, which can be used as a generic mathematical too...
Abstract – A new hybrid structure- hesitant fuzzy soft set, involving soft set is introduced. Soft s...
Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy...
In this paper, we introduce some operations on hesitant fuzzy soft sets and discuss some of their pr...
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