Multi-attribute Filtering

Multi-Attribute Filtering is a filtering methodology that enables the simultaneous evaluation and selection of items based on multiple distinct attributes or criteria, distinguishing itself from single-attribute approaches by integrating heterogeneous dimensions into a unified decision-making process.

7

Publications

370

Citations

25

Authors

15

Institutions

Publications per year

2017–2026

6

Authors

25

  1. WS
    Won Suk Lee

    Yonsei University, South Korea

    1 publications · 10 citations

    1

    h-index

  2. XL
    Xixing Li

    Wuhan University of Technology, China

    1 publications · 91 citations

    1

    h-index

  3. PM
    Ping Ma

    University of Strathclyde, United Kingdom

    1 publications · 28 citations

    1

    h-index

  4. VS
    V. Senthil Kumaran

    PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH, India

    1 publications · 13 citations

    1

    h-index

  5. DP
    Dharyll Prince Abellana

    Cebu Technological University, Philippines

    1 publications · 36 citations

    1

    h-index

1–5 of 25

Venues

  1. Expert Systems with Applications

    1 publications · 175 citations

    1

    h-index

  2. Remote Sensing

    1 publications · 28 citations

    1

    h-index

  3. Library Hi Tech

    1 publications · 13 citations

    1

    h-index

  4. International Journal of Crowd Science

    1 publications · 17 citations

    1

    h-index

  5. Information Sciences

    1 publications · 10 citations

    1

    h-index

1–5