Using aggregation functions to model human judgements of species diversity

Gleb Beliakov, Simon James, Dale G Nimmo

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


In environmental ecology, diversity indices attempt to capture both the number of species in a community and the relative abundance of each. Many indices have been proposed for quantifying diversity, often based on calculations of dominance, equity and entropy from other research fields. Here we use linear fitting techniques to investigate the use of aggregation functions, both for evaluating the relative biodiversity of different ecological communities,and for understanding human tendencies when making intuitive diversity comparisons. The dataset we use was obtained from an online exercise where individuals were asked to compare hypothetical communities in terms of diversity and importance for conservation.
Original languageEnglish
Pages (from-to)21-33
Number of pages13
JournalInformation Sciences
Publication statusPublished - 2015


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