Fuzzy Description Logics for Bilateral Matchmaking in e-Marketplaces

作者: Eugenio Di Sciascio , Tommaso Di Noia , Fernando Bobillo , Azzurra Ragone , Francesco M. Donini

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摘要: We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. model traders’ preferences with the aid of DLs and, given request, use utility values computed w.r.t. Pareto agreements rank set offers. In particular, we introduce an expressive DL, extended concrete domains order handle numerical, as well non numerical features, and deal vagueness buyer/seller preferences. Hence, agents can express e.g., I am searching for passenger car costing about 22000e yet if has GPS system more than two-year warranty spend up 25000e. note that, among all possible matches, our chooses mutually beneficial ones.

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