Could there be a difference between the words "feature", "attribute", and "decision variable" when used in the same paper? The one I am specifically thinking about is about an optimization method for clustering, but I am also wondering if there generally are any scenarios for which it could be.
I can't manage to google up an answer that either confirms or denies that these are the same thing, and I have no formal training in data science.
I left the article out at first to not omit a more general answer, but this is the link: ncbi.nlm.nih.gov/pmc/articles/PMC4532808
- "Mutation is a probabilistic operator that randomly modifies a decision variable of a candidate solution."
- "Suppose [...] POPi(s) is the sth decision variable of POPi (i.e. C r t, t = 1,2,…, d and r = 1,2,…, q)."
- "[...] max(h i(SIV)), min(h i(SIV)) are the upper and lower bounds for each decision variable [...]"
- "A SIV is a feature of the solution and can be imagined like a gene in GA."