@InProceedings{Sandri:2012:FuReAp,
               author = "Sandri, Sandra Aparecida",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "A fuzzy residuated approach to case-based reasoning",
            booktitle = "Proceedings...",
                 year = "2012",
         organization = "International Conference on Information Processing and Management 
                         of Uncertainty in Knowledge-Based Systems, 142. (IPMU).",
                 note = "Communications in Computer and Information Science, Volume: 297 
                         CCIS, PART 1, p. 51-60",
             keywords = "case-based reasoning, residuated implication, similarity 
                         relations, Basic principles, CBr, Finite number, Fuzzy relations, 
                         Implication operators, Problem description, residuated 
                         implication, Similarity relations.",
             abstract = "This paper addresses the use of residuated implication operators 
                         to create a fuzzy resemblance relation between cases so as to 
                         model the CBR basic principle the more similar two problem 
                         descriptions are, the more similar are their solutions. We 
                         describe how this fuzzy relation can be exploited to identify case 
                         clusters, based of a finite number of level cuts from that 
                         relation, that are in turn used to solve a new problem. The paper 
                         proposes some formal results that characterize the sets of 
                         clusters obtained from the various level-cuts of the resemblance 
                         relation.",
  conference-location = "Catania",
      conference-year = "9 July -13 July 2012",
                  doi = "10.1007/978-3-642-31709-5_6",
                  url = "http://dx.doi.org/10.1007/978-3-642-31709-5_6",
                 isbn = "18650929",
                 issn = "978-364231708-8",
                label = "lattes: 8073731810160654 2 SandriMendMart:2012:CaSt",
             language = "en",
               volume = "Communications in Computer and Information Science V 297 PART 1",
        urlaccessdate = "20 maio 2024"
}