@misc{10481/77907,
year = {2008},
url = {https://hdl.handle.net/10481/77907},
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 22000e yet if the car has a GPS system and more than two-year
warranty I can spend up to 25000e. Noteworthy our matchmaking approach,
among all the possible matches, chooses the mutually beneficial ones.},
publisher = {Springer},
keywords = {Inteligencia artificial},
keywords = {Artificial intelligence},
title = {Fuzzy bilateral matchmaking in e-marketplaces},
author = {Ragone, Azzurra and Bobillo Ortega, Fernando},
}