Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web

Fuzzy Sets and Systems

Volumn 148, Issue 1, 2004, Pages 61-83

  Herrera Viedma, E ^a   Herrera, F ^a   Martinez L ^b   Herrera, J C ^a   Lopez A G ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF JAÉN   (Spain)

Author keywords

Filtering; Fuzzy linguistic modelling; Information retrieval; Intelligent agents; Web

Indexed keywords

COMPUTER SIMULATION; HTML; INFORMATION RETRIEVAL; INTELLIGENT AGENTS; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; WORLD WIDE WEB; XML;

FUZZY LINGUISTIC INFORMATION; FUZZY LINGUISTIC MODELING; INFORMATION FILTERING; MULTI-AGENT MODELS;

FUZZY SETS;

EID: 4944245158     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2004.03.006     Document Type: Article

References (36)

1. C. Basu, H. Hirsh, W. Cohen, Recommendation as classification: using social and content-based information in recommendation, Proc. 15th Nat. Conf. on Artificial Intelligence, 1998, pp. 714-720.
2. G. Boone, Concept features in RE:agent, an intelligent email agent, Proc. Autonomous Agents, 1998, pp. 141-148.
3. Brenner W., Zarnekow R., Witting H. Intelligent Software Agent, Foundations and Applications. 1998;Springer, Berlin, Heidelberg.
4. M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, M. Sartin, Combining content-based and collaborative filters in an online newpaper, Proc. ACM SIGIR'99 Workshop on Recommender Systems-Implementation and Evaluation, Berkeley, CA, 1999.
5. Chau M., Zeng D., Chen H., Huang M., Hendriawan D. Design and evaluation of a multi-agent collaborative Web mining system. Decision Support Systems. 35:2003;167-183.
6. Delgado M., Herrera F., Herrera-Viedma E., Martín-Bautista M.J., Martínez L., Vila M.A. A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet. Soft Comput. 6:2002;320-328.
7. Delgado M., Herrera F., Herrera-Viedma E., Martín-Bautista M.J., Vila M.A. Combining linguistic information in a distributed intelligent agent model for information gathering on the Internet. Wang P.P. Computing with Words. 2001;251-276 Wiley, New York.
8. Fazlollahi B., Vahidov R.M., Aliev R.A. Multi-agent distributed intelligent system based on fuzzy decision making. Internat. J. Intelligent Systems. 15:2000;849-858.
9. Ferber J. Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. 1999;Addison-Wesley Longman, New York.
10. N. Good, J.B. Shafer, J.A. Konstan, A. Borchers, B.M. Sarwar, J.L. Herlocker, J. Riedl, Combining collaborative filtering with personal agents for better recommendations, Proc. 16th National Conf. on Artificial Intelligence, 1999, pp. 439-446.
11. Herrera F., Herrera-Viedma E. Aggregation operators for linguistic weighted information. IEEE Trans. Systems, Man Cybernet., Part A: Systems and Humans. 27(5):1997;646-656.
12. F. Herrera, E. Herrera-Viedma, L. Martínez, C. Porcel, Information gathering on the internet using a distributed intelligent agent model with multi-granular linguistic information, in: V. Loia (Ed.), Fuzzy Logic and The Internet, Physica-Verlag, Springer, Wurzburg, Berlin, 2003, in press.
13. Herrera F., Herrera-Viedma E., Verdegay J.L. Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets and Systems. 79:1996;175-190.
14. Herrera F., Martínez L. A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Systems. 8(6):2000;746-752.
15. Herrera F., Martínez L. A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in multiexpert decision-making. IEEE Trans. Systems, Man Cybernet., Part B: Cybernet. 31(2):2001;227-234.
16. Herrera F., Martínez L. The 2-tuple linguistic computational model. Advantages of its linguistic description, accuracy and consistency. Internat. J. Uncertainty, Fuzziness Knowledge-Based Systems. 9:2001;33-48.
17. Herrera-Viedma E. Modeling the retrieval process of an information retrieval system using an ordinal fuzzy linguistic approach. J. Amer. Soc. Inform. Sci. Technol. 52(6):2001;460-475.
18. Herrera-Viedma E. An information retrieval system with ordinal linguistic weighted queries based on two weighting elements. Internat. J. Uncertainty, Fuzziness Knowledge-Based Systems. 9:2001;77-88.
19. Herrera-Viedma E., Peis E. Evaluating the informative quality of documents in SGML-format using fuzzy linguistic techniques based on computing with words. Inform. Process. Manag. 39(2):2003;195-213.
20. Jennings N., Sycara K., Wooldridge M. A roadmap of agent research and development. Autonom. Agents Multi-Agents Systems. 1:1998;7-38.
21. Kobayashi M., Takeda K. Information retrieval on the web. ACM Comput. Surveys. 32(2):2000;144-173.
22. Lawrence S., Giles C. Searching the web. general and scientific information access IEEE Comm. Mag. 37(1):1998;116-122.
23. Lieberman H. Personal assistants for the Web: a MIT perspective. Klusch M. Intelligent Information Agents. 1999;279-292 Springer, Berlin.
24. Maes P. Agents that reduce work and information overload. Comm. ACM. 37:1994;31-40.
25. Moukas A., Zacharia G., Maes P. Amalthaea and Histos: multiagent systems for WWW sites and representation recommendations. Klusch M. Intelligent Information Agents. 1999;293-322 Springer, Berlin.
26. A. Popescul, L.H. Ungar, D.M. Pennock, S. Lawrence, Probabilistic models for unified collaborative and content-based recommendation in sparce-data environments. in: Proc. 17th Conf. on Uncertainty in Artificial Intelligence (UAI), San Francisco, 2001, pp. 437-444.
27. Reisnick P., Varian H.R. Recommender Systems. Special issue of Comm. ACM. 40(3):1997;56-58.
28. Salton G., McGill M.G. Introduction to Modern Information Retrieval. 1983;McGraw-Hill, New York.
29. Schafer J.B., Konstan J.A., Riedl J. E-Commerce recommendation applications. Data Mining Knowledge Discovery. 5(1/2):2001;115-153.
30. K. Sycara, A. Pannu, M. Williamson, D. Zeng, Distributed intelligent agents, IEEE Expert (1996) 36-46.
31. Yager R.R. Protocol for negotiations among multiple intelligent agents. Kacprzyk J., Nurmi H., Fedrizzi M. Consensus Under Fuzziness. 1996;165-174 Kluwer Academic Publishers, Dordrecht.
32. Yager R.R. Intelligent agents for World Wide Web advertising decisions. Internat. J. Intelligent Systems. 12:1997;379-390.
33. Yager R.R. Fusion of multi-agent preference orderings. Fuzzy Sets and Systems. 112:2001;1-12.
34. Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part I. Inform. Sci. 8:1975;199-249 Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part II. Inform. Sci. 8:1975;301-357 Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part III. Inform. Sci. 9:1975;43-80.
35. Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part I. Inform. Sci. 8:1975;199-249 Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part II. Inform. Sci. 8:1975;301-357 Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part III. Inform. Sci. 9:1975;43-80.
36. Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part I. Inform. Sci. 8:1975;199-249 Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part II. Inform. Sci. 8:1975;301-357 Zadeh L.A. The concept of a linguistic variable and its applications to approximate reasoning. Part III. Inform. Sci. 9:1975;43-80.