Fuzzy bilateral matchmaking in e-marketplaces (Contributo in atti di convegno)

Type
Label
  • Fuzzy bilateral matchmaking in e-marketplaces (Contributo in atti di convegno) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-540-85567-5_37 (literal)
Alternative label
  • Ragone A.; Straccia U.; Bobillo F.; Di Noia T.; Di Sciascio E.; Donini F. (2008)
    Fuzzy bilateral matchmaking in e-marketplaces
    in 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ragone A.; Straccia U.; Bobillo F.; Di Noia T.; Di Sciascio E.; Donini F. (literal)
Pagina inizio
  • 293 (literal)
Pagina fine
  • 301 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-540-85567-5_37 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 5179 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Knowledge-Based Intelligent Information and Engineering Systems. 12th International Conference, KES 2008 (Zagreb, Croatia, 3-5 September 2008). Proceedings, vol. Part III pp. 293 - 301. (Lecture Notes in Artificial Intelligence, vol. 5179). Springer Verlag, 2008. (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of Michigan, Ann Arbor, MI, USA - SisInfLab, Politecnico di Bari, Bari, Italy, CNR-ISTI, Pisa, Department of Computer Science and Artificial Intelligence, University of Granada (literal)
Titolo
  • Fuzzy bilateral matchmaking in e-marketplaces (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-540-85566-8 (literal)
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 eg textit{I am searching for a passenger car costing about 22000euro, yet if the car has a GPS system and more than two-year warranty I can spend up to 25000euro}. Noteworthy our matchmaking approach, among all the possible matches, chooses the mutually beneficial ones. (literal)
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