Fuzzy classification for farm household characterization

B. Salasya, J. Stoorvogel

    Research output: Contribution to journalArticleAcademicpeer-review


    Most household classifications use hard classification procedures that limit a household to only one cluster. In this paper, fuzzy classification, in which individuals can belong totally, partially or not at all to a particular cluster, with membership showing how well they fit in each cluster, was tested as an alternative clustering procedure. The results show that membership values, which are an extra output of the fuzzy classification, are a useful indicator of how well a particular household fits in a given cluster. Such information is useful when choosing households to use for agricultural technology testing.
    Original languageEnglish
    Pages (from-to)57-63
    JournalOutlook on Agriculture
    Issue number1
    Publication statusPublished - 2010


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