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Fuzzy ontology representation using OWL 2
The need to deal with vague information in Semantic Web languages is rising in importance
and, thus, calls for a standard way to represent such information. We may address this issue …
and, thus, calls for a standard way to represent such information. We may address this issue …
A decision-theoretic rough set approach for dynamic data mining
Uncertainty and fuzziness generally exist in real-life data. Approximations are employed to
describe the uncertain information approximately in rough set theory. Certain and uncertain …
describe the uncertain information approximately in rough set theory. Certain and uncertain …
A knowledge-based approach for representing jobholder profile toward optimal human–machine collaboration in cyber physical production systems
Increasing number of AI-enhanced approaches provide helpful “know-how” for reproducing
and imitating skills and finally substituting human jobs with algorithms and intelligent …
and imitating skills and finally substituting human jobs with algorithms and intelligent …
Comparison of six types of rough approximations based on j-neighborhood space and j-adhesion neighborhood space
In this paper, we generalize three types of rough set models based on j-neighborhood space
(ie, type 1 j-neighborhood rough set, type 2 j-neighborhood rough set, and type 3 j …
(ie, type 1 j-neighborhood rough set, type 2 j-neighborhood rough set, and type 3 j …
Grou** granular structures in human granulation intelligence
Human granulation intelligence means that people can observe and analyze the same
problem from various granulation points of view, which generally acknowledge an essential …
problem from various granulation points of view, which generally acknowledge an essential …
Semantic web search based on rough sets and fuzzy formal concept analysis
Fuzzy Formal Concept Analysis (FFCA) is a generalization of Formal Concept Analysis
(FCA) for modeling uncertainty information. FFCA provides a mathematical framework which …
(FCA) for modeling uncertainty information. FFCA provides a mathematical framework which …
Covering rough sets based on neighborhoods: an approach without using neighborhoods
Rough set theory, a mathematical tool to deal with inexact or uncertain knowledge in
information systems, has originally described the indiscernibility of elements by equivalence …
information systems, has originally described the indiscernibility of elements by equivalence …
Methodology for multi-aspect ontology development: ontology for decision support based on human-machine collective intelligence
The advantage of human-machine collective intelligence for decision support systems is the
ability to make better decisions due to the mitigation of human biases in the generation of …
ability to make better decisions due to the mitigation of human biases in the generation of …
[HTML][HTML] The dynamic update method of attribute-induced three-way granular concept in formal contexts
Granular computing is becoming a very hot research field, which has received extensive
attention in recent years. It helps us to analyze and solve problems better by dividing …
attention in recent years. It helps us to analyze and solve problems better by dividing …
Towards linguistic descriptions of phenomena
This paper deals with the development of computational systems that are able to provide
users with meaningful linguistic descriptions of phenomena, ie, of occurrences …
users with meaningful linguistic descriptions of phenomena, ie, of occurrences …