Inference based on Fuzzy Deformable Prototypes for information filtering in dynamic web repositories

Romero, Francisco P.; Olivas, José Á.; Garcés, Pablo

doi:10.1109/fuzzy.2007.4295572

Cited by 3 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, this paper represents an extension of the work presented in [5]. This extension consists of the representation of the categories by type 2 fuzzy sets instead of type 1 fuzzy sets.…”

Section: Introductionmentioning

confidence: 93%

“…This work uses the concept of Fuzzy Deformable Prototypes (FDPs) [5] based on [8]. The definition of fuzzy deformable prototypes inherits some features of the Zadehs fuzzy prototype approach [8], but adding some extensions in order to manage the complexity of the real world problems.…”

Section: A Fuzzy Prototypes and Fuzzy Deformable Prototypesmentioning

confidence: 99%

“…Table I shows an example of these frameworks. When a new document comes in, the compatibility degree between the new document and the category is computed by a conceptual matching process [5]. which is carried out using the concepts that are included in the document and the conceptual definition of the category.…”

Section: B Fuzzy Prototypes Based Filteringmentioning

confidence: 99%

“…This representation is based on the key concepts extraction method proposed in [5] and on the use of ontologies such as WordNet [13], ConceptNet [14] or MeSH 2 .…”

Section: A Document Categorizationmentioning

confidence: 99%

“…Fuzzy Clustering is often used to improve both speed and effectiveness of filtering systems [4]. In [5] an approach to information filtering based on fuzzy prototypes is presented. The impossibility of differentiate between different applications of the same information is one of the main shortcomings of these approaches.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A category-based information filtering approach based on interval type 2 fuzzy sets

Romero

Serrano-Guerrero

Olivas

et al. 2010

International Conference on Fuzzy Systems

Self Cite

View full text Add to dashboard Cite

Category-based information filtering is ground on the representation of user preferences according to a set of categories of similar items. The use of type 1 fuzzy sets provides a good method to represent categories when only one static interpretation of them is considered. This representation is not enough when documents do not have the same meaning for two different users because there are some degrees of subjectivity. On the other hand, type 2 fuzzy sets have been successfully applied to manage uncertainty more effectively than type-1 fuzzy sets in several environments. This paper presents a method to manage efficiently uncertainties in the filtering process in environments where there is a constant flow of new information (news, e-mail, etc.) and multiple users are involved. The proposed solution is based on the extension of the categories-based filtering method using interval type 2 fuzzy sets for representing each category and the user preferences. Experimental results, that illustrate the feasibility of this approach, are provided.

show abstract

“…Hence, this paper represents an extension of the work presented in [5]. This extension consists of the representation of the categories by type 2 fuzzy sets instead of type 1 fuzzy sets.…”

Section: Introductionmentioning

confidence: 93%

Section: A Fuzzy Prototypes and Fuzzy Deformable Prototypesmentioning

confidence: 99%

Section: B Fuzzy Prototypes Based Filteringmentioning

confidence: 99%

“…This representation is based on the key concepts extraction method proposed in [5] and on the use of ontologies such as WordNet [13], ConceptNet [14] or MeSH 2 .…”

Section: A Document Categorizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A category-based information filtering approach based on interval type 2 fuzzy sets

Romero

Serrano-Guerrero

Olivas

et al. 2010

International Conference on Fuzzy Systems

Self Cite

View full text Add to dashboard Cite

show abstract

Bucefalo

Romero

Serrano-Guerrero

Olivas

2009

Proceedings of the 18th International Conference on World Wide Web

View full text Add to dashboard Cite

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

Paiva

2014

International Journal of Web Portals

View full text Add to dashboard Cite

Search for documents is a common and pertinent task lots of organizations face every day as well as common Internet users in their daily searches. One specific document search is scientific paper search in reference manager systems such as Mendeley or IEEExplore. Considering the difficult task finding documents can sometimes represent, semantic search is currently being applied to improve this type of search. As the act of deciding if a document is a good result for a given search expression is vague, fuzziness becomes an important aspect when defining search algorithms. In this paper, the author present a fuzzy algorithm for improving documental searches optimized for specific scenarios where we want to find a document but don´t remember the exact words used, if plural or singular words were used or if a synonym was used. The author also present the application of this algorithm to a real scenario comparing to Mendeley and IEEExplore results.

show abstract

Inference based on Fuzzy Deformable Prototypes for information filtering in dynamic web repositories

Cited by 3 publications

References 5 publications

A category-based information filtering approach based on interval type 2 fuzzy sets

A category-based information filtering approach based on interval type 2 fuzzy sets

Bucefalo

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

Contact Info

Product

Resources

About