Abstract
Our journey in the land of Fuzzy Logic started in 1990, at the Italian National Council of Research (CNR), where we were young researchers, who, coming from research experiences in distinct groups, were excited at the idea to start an independent and challenging research activity. We came across the world of Information Retrieval (before Web search engines’ birth) not by chance, but because we were both working at a project aimed at defining and implementing an IR system (IRS) for managing the research papers produced by the researchers of CNR.
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References
Blackmore, S.J.: The Meme Machine. Oxford University Press, Oxford (1999)
Bordogna, G., Carrara, P., Pasi, G.: Query Term Weights as Constraints in Fuzzy Information Retrieval. Information Processing & Management 27(1), 15–26 (1991)
Bordogna, G., Pasi, G.: Linguistic Aggregation Operators of Selection Criteria in Fuzzy Information Retrieval. International Journal of Intelligent Systems 10, 233–248 (1995)
Bordogna, G., Pasi, G.: Modeling Vagueness in Information Retrieval. In: Agosti, M., Crestani, F., Pasi, G. (eds.) ESSIR 2000. LNCS, vol. 1980, pp. 207–241. Springer, Heidelberg (2001)
Bordogna, G., Pasi, G.: Personalized Indexing and Retrieval of Heterogeneous Structured Documents. Information Retrieval 8(2), 301–318 (2005)
Bordogna, G., Gabriella, P., Yager, R.R.: Soft Approaches to Distributed Information Retrieval. International Journal of Approximate Reasoning 34(2-3), 105–120 (2003)
Kraft, D.H., Bordogna, G., Pasi, G.: Fuzzy Set Techniques in Information Retrieval. In: Bezdek, J.C., Dubois, D., Prade, H. (eds.) Fuzzy Sets in Approximate Reasoning and Information Systems. The Handbooks of Fuzzy Sets Series, pp. 469–510. Kluwer Academic, Norwell (1999)
Pasi, G.: Fuzzy Sets in Information Retrieval: State of the Art and Research Trends. In: Bustince, H., Herrera, F., Montero, J. (eds.) Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. STUDFUZZ, pp. 517–535. Springer, Berlin (2008)
Miyamoto, S., Teruhisa, M., Nakayama, K.: Generation of a Pseudo-thesaurus for Information Retrieval Based on Cooccurrences and Fuzzy Set Operations. IEEE Transactions of Systems, Man, and Cybernetics SMC 13(1), 62–70 (1983)
Miyamoto, S.: Fuzzy Sets in Information Retrieval and Cluster Analysis. Kluwer Academic, Dordrecht (1990)
Radecki, T.: Fuzzy Set Theoretical Approach to Document Retrieval. Information Processing and Management 15(5), 247–260 (1979)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Zadeh, L.A.: From Search Engines to Question-answering Systems – The Need for New Tools. In: Proceedings of the EUSFLAT Conference 2003, pp. 3–5 (2003)
Zadeh, L.A.: Computing with Words and Perceptions - A Paradigm Shift in Computing and Decision Analysis and Machine Intelligence. In: Proceedings of the ICMLA Conference 2003, pp. 3–5 (2003)
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Pasi, G., Bordogna, G. (2013). The Role of Fuzzy Sets in Information Retrieval. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (eds) On Fuzziness. Studies in Fuzziness and Soft Computing, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35644-5_14
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DOI: https://doi.org/10.1007/978-3-642-35644-5_14
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