Distance-Based Knowledge Measure for Intuitionistic Fuzzy Sets with Its Application in Decision Making [PDF]
Much attention has been paid to construct an applicable knowledge measure or uncertainty measure for Atanassov’s intuitionistic fuzzy set (AIFS). However, many of these measures were developed from intuitionistic fuzzy entropy, which cannot really ...
Xuan Wu, Yafei Song, Yifei Wang
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An Entropy-Based Knowledge Measure for Atanassov’s Intuitionistic Fuzzy Sets and Its Application to Multiple Attribute Decision Making [PDF]
As the complementary concept of intuitionistic fuzzy entropy, the knowledge measure of Atanassov’s intuitionistic fuzzy sets (AIFSs) has attracted more attention and is still an open topic.
Gang Wang +3 more
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Developing a Measure to Assess General Knowledge for Coeliac Disease [PDF]
Background The importance of establishing knowledge about coeliac disease relates to the increasing incidence of symptomatic individuals who are undiagnosed.
Tiffany Lavis +3 more
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From a Measure of Confidence to a Measure of the Level of Knowledge
Confidence degrees assigned by respondents to their responses are generally taken at their face value. An experiment where respondents were asked to indicate twice their confidence in their (changed or unchanged) response has, however, showed that those ...
Daniel Defays
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Distance-Based Knowledge Measure and Entropy for Interval-Valued Intuitionistic Fuzzy Sets
The knowledge measure or uncertainty measure for constructing interval-valued intuitionistic fuzzy sets has attracted much attention. However, many uncertainty measures are measured by the entropy of interval-valued intuitionistic fuzzy sets, which ...
Chunfeng Suo, Xuanchen Li, Yongming Li
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Picture Fuzzy Knowledge Measure with Application to MADM
The complementary dual of entropy is termed “knowledge measure” in recent studies concerning fuzzy and intuitionistic fuzzy sets. A picture fuzzy set is an extended and generalized form of fuzzy and intuitionistic fuzzy sets.
Dinesh K. Sharma +2 more
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Approaches to measure class importance in Knowledge Graphs
The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased during the last decade. Many different communities have chosen to publish their datasets using Linked Data principles, which favors the integration of this information ...
Daniel Fernández-Álvarez +4 more
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A Complementary Dual of Single-Valued Neutrosophic Entropy with Application to MAGDM
A single-valued neutrosophic set (SVNS) is a subcategory of neutrosophic set that is used to represent uncertainty and fuzziness in three tiers, namely truthfulness, indeterminacy, and falsity.
Sonam Sharma, Surender Singh
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Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System
Considering that the population is aging rapidly, the demand for technology for aging-at-home, which can provide reliable, unobtrusive monitoring of human activity, is expected to expand.
Barbara Pȩkala +3 more
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An interestingness measure for knowledge bases
Association rule mining and logical rule mining both aim to discover interesting relationships in data or knowledge. In association rule mining, relationships are identified based on the occurrence of items in a dataset, while in logical rule mining ...
Damla Oguz, Fatih Soygazi
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