Attributive concept descriptions with complements
Artificial Intelligence
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Preface: Protégé: community is everything
International Journal of Human-Computer Studies - Protégé: community is everything
The Description Logic Handbook
The Description Logic Handbook
A fuzzy soft set theoretic approach to decision making problems
Journal of Computational and Applied Mathematics
Information Sciences: an International Journal
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Applications of soft sets in ideal theory of BCK/BCI-algebras
Information Sciences: an International Journal
Computers & Mathematics with Applications
Representation of context-dependant knowledge in ontologies: A model and an application
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
Data analysis approaches of soft sets under incomplete information
Knowledge-Based Systems
The normal parameter reduction of soft sets and its algorithm
Computers & Mathematics with Applications
Letter to the editor: Comment on "A fuzzy soft set theoretic approach to decision making problems"
Journal of Computational and Applied Mathematics
Soft set theory applied to ideals in d-algebras
Computers & Mathematics with Applications
Fuzzy description logics under Gödel semantics
International Journal of Approximate Reasoning
On some new operations in soft set theory
Computers & Mathematics with Applications
A combined forecasting approach based on fuzzy soft sets
Journal of Computational and Applied Mathematics
Combination of interval-valued fuzzy set and soft set
Computers & Mathematics with Applications
Introduction to fuzzy soft groups
Computers & Mathematics with Applications
Soft p-ideals of soft BCI-algebras
Computers & Mathematics with Applications
Reasoning within expressive fuzzy rough description logics
Fuzzy Sets and Systems
The parameterization reduction of soft sets and its applications
Computers & Mathematics with Applications
More on Intuitionistic Fuzzy Soft Sets
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Hypertableau reasoning for description logics
Journal of Artificial Intelligence Research
Computers & Mathematics with Applications
Expressive fuzzy description logics over lattices
Knowledge-Based Systems
A fuzzy soft flood alarm model
Mathematics and Computers in Simulation
An adjustable approach to fuzzy soft set based decision making
Journal of Computational and Applied Mathematics
Exclusive disjunctive soft sets
Computers & Mathematics with Applications
Extending soft sets with description logics
Computers & Mathematics with Applications
Journal of Computational and Applied Mathematics
Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies
Expert Systems with Applications: An International Journal
Soft matrix theory and its decision making
Computers & Mathematics with Applications
Interval-valued intuitionistic fuzzy soft sets and their properties
Computers & Mathematics with Applications
Application of level soft sets in decision making based on interval-valued fuzzy soft sets
Computers & Mathematics with Applications
Mathematical and Computer Modelling: An International Journal
A PSO-Fuzzy group decision-making support system in vehicle performance evaluation
Mathematical and Computer Modelling: An International Journal
Application of fuzzy soft set in decision making problems based on grey theory
Journal of Computational and Applied Mathematics
Another view on reduction of parameters in soft sets
Applied Soft Computing
Soft subsets and soft product operations
Information Sciences: an International Journal
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Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. Description Logics (DLs) are a family of knowledge representation languages which can be used to represent the terminological knowledge of an application domain in a structured and formally well-understood way. To extend the expressive power of soft sets, ontology-based soft sets are presented by using the concepts of DLs to act as the parameters of soft sets. In this paper, we investigate soft set based decision making problems more deeply. Concretely, we first point out that the traditional approaches to (fuzzy) soft set based decision making are not fit to solve decision making problems involving user queries through some motivating examples. Furthermore, we present a novel approach to semantic decision making by using ontology-based soft sets and ontology (i.e., DL) reasoning. Lastly, the implementation method of semantic decision making is also discussed.