Literature DB >> 18255928

Shadowed sets: representing and processing fuzzy sets.

W Pedrycz1.   

Abstract

This study introduces a new concept of shadowed sets that can be regarded as a certain operational framework simplifying processing carried out with the aid of fuzzy sets and enhancing interpretation of results obtained therein. Some conceptual links between this idea and some others known in the literature are established. In particular, it is demonstrated how fuzzy sets can induce shadowed sets. Subsequently, shadowed sets reveal interesting conceptual and algorithmic relationships existing between rough sets and fuzzy sets. Detailed computational aspects of shadowed sets are discussed. Several illustrative examples are provided.

Year:  1998        PMID: 18255928     DOI: 10.1109/3477.658584

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  4 in total

1.  An improved fuzzy c-means clustering algorithm based on shadowed sets and PSO.

Authors:  Jian Zhang; Ling Shen
Journal:  Comput Intell Neurosci       Date:  2014-11-12

2.  A partition-based active contour model incorporating local information for image segmentation.

Authors:  Jiao Shi; Jiaji Wu; Anand Paul; Licheng Jiao; Maoguo Gong
Journal:  ScientificWorldJournal       Date:  2014-07-24

3.  A three-way approach for protein function classification.

Authors:  Hafeez Ur Rehman; Nouman Azam; JingTao Yao; Alfredo Benso
Journal:  PLoS One       Date:  2017-02-24       Impact factor: 3.240

Review 4.  Data Consistency for Data-Driven Smart Energy Assessment.

Authors:  Gianfranco Chicco
Journal:  Front Big Data       Date:  2021-05-13
  4 in total

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