Add to ORKGComparison measures to assess similarity, inclusion, and overlap of fuzzy sets are well known and widely used. This paper goes one step further by bootstrapping a more general concept of relatedness of fuzzy sets based on the relatedness of their elements. We study properties of 6 relatedness measures of this kind, and we illustrate their use in interesting applications such as information retrieval, temporal reasoning and recommender systems
Similarity measures are studied in a fuzzy envoirement. The weighted measures are involved in order ...
AbstractIt has been widely recognized that the imprecision and incompleteness inherent in real-world...
Our purpose is to provide a set-theoretical frame to clustering fuzzy relational data basically base...
Many measures of similarity among fuzzy sets have been proposed in the literature, and some have bee...
AbstractMany measures of similarity among fuzzy sets have been proposed in the literature, and some ...
Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However,...
Assessing the degree to which two objects, an object and a query, or two concepts are similar or com...
Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However,...
The paper proposes a new class of fuzzy set similarity measures taking into account the proximity of...
International audienceSimilarity is a key concept for all attempts to construct human-like automated...
Comparing fuzzy sets by computing their similarity is common, with a large set of measures of simila...
Similarity measures are among the most common methods of comparing type-2 fuzzy sets and have been u...
Image similarity is an important topic in the field of image processing. The goal is to obtain objec...
This paper presents a method of measuring the similarity between general type-2 fuzzy sets that may ...
Measuring the similarity between clusterings is a classic problem with several proposed solutions. I...
Similarity measures are studied in a fuzzy envoirement. The weighted measures are involved in order ...
AbstractIt has been widely recognized that the imprecision and incompleteness inherent in real-world...
Our purpose is to provide a set-theoretical frame to clustering fuzzy relational data basically base...
Many measures of similarity among fuzzy sets have been proposed in the literature, and some have bee...
AbstractMany measures of similarity among fuzzy sets have been proposed in the literature, and some ...
Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However,...
Assessing the degree to which two objects, an object and a query, or two concepts are similar or com...
Reasoning with fuzzy sets can be achieved through measures such as similarity and distance. However,...
The paper proposes a new class of fuzzy set similarity measures taking into account the proximity of...
International audienceSimilarity is a key concept for all attempts to construct human-like automated...
Comparing fuzzy sets by computing their similarity is common, with a large set of measures of simila...
Similarity measures are among the most common methods of comparing type-2 fuzzy sets and have been u...
Image similarity is an important topic in the field of image processing. The goal is to obtain objec...
This paper presents a method of measuring the similarity between general type-2 fuzzy sets that may ...
Measuring the similarity between clusterings is a classic problem with several proposed solutions. I...
Similarity measures are studied in a fuzzy envoirement. The weighted measures are involved in order ...
AbstractIt has been widely recognized that the imprecision and incompleteness inherent in real-world...
Our purpose is to provide a set-theoretical frame to clustering fuzzy relational data basically base...