Feature Granularity

Feature Granularity is a methodological attribute in Feature-Based Design that specifies the level of detail or abstraction at which functional or structural features are defined and operationalized within a given modeling or engineering context.

107

Publications

6.3K

Citations

349

Authors

161

Institutions

Publications per year

2017–2026

72

Authors

349

  1. WP
    Witold Pedrycz

    University of Alberta, Canada

    14 publications · 735 citations

    13

    h-index

  2. MS
    Mingli Song

    University of Alberta, Canada

    4 publications · 126 citations

    4

    h-index

  3. SK
    Sankar K. Pal

    Indian Statistical Institute, India

    3 publications · 258 citations

    3

    h-index

  4. YY
    Yiyu Yao

    University of Regina, Canada

    3 publications · 450 citations

    3

    h-index

  5. QH
    Qinghua Hu

    Tianjin University, China

    3 publications · 91 citations

    3

    h-index

1–5 of 349

Venues

  1. Information Sciences

    9 publications · 297 citations

    9

    h-index

  2. Knowledge-Based Systems

    6 publications · 194 citations

    6

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 5 publications · 144 citations

    5

    h-index

  4. IEEE Transactions on Multimedia

    5 publications · 146 citations

    5

    h-index

  5. Applied Soft Computing

    3 publications · 93 citations

    3

    h-index

1–5