We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a request, use utility values computed w.r.t. Pareto agreements to rank a set of offers. In particular, we introduce an expressive Fuzzy DL, extended with concrete domains in order to handle numerical, as well as non numerical features, and to deal with vagueness in buyer/seller preferences. Hence, agents can express preferences as e.g., I am searching for a passenger car costing about 22000€ yet if the car has a GPS system and more than two-year warranty I can spend up to 25000€. We note that, among all possible matches, our matchmaking approach chooses the mutually beneficial ones.
Fuzzy description logics for bilateral matchmaking in e-marketplaces
Ragone Azzurra;Di Noia T.;Di Sciascio E.
2008-01-01
Abstract
We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a request, use utility values computed w.r.t. Pareto agreements to rank a set of offers. In particular, we introduce an expressive Fuzzy DL, extended with concrete domains in order to handle numerical, as well as non numerical features, and to deal with vagueness in buyer/seller preferences. Hence, agents can express preferences as e.g., I am searching for a passenger car costing about 22000€ yet if the car has a GPS system and more than two-year warranty I can spend up to 25000€. We note that, among all possible matches, our matchmaking approach chooses the mutually beneficial ones.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
