[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

A Consensus Reaching Model for Web 2.0 Communities

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5861))

Abstract

Web 2.0 Communities allow large amounts of users to interact with each others. In fact, new Web 2.0 technologies allow to share resources and information in an easy and timely manner, allowing real time communication among persons all over the world. However, as Web 2.0 Communities are a quite recent phenomenon with its own characteristics and particularities, there is still a necessity of developing new tools that allow to reach decisions with a high enough consensus level among their users. In this contribution we present a new consensus reaching model designed to incorporate the benefits that a Web 2.0 Community offers (rich and diverse knowledge due to a large number of users, real-time communication...) and that tries to minimize the main problems that this kind of organization presents (low and intermittent participation rates, difficulty of establishing trust relations and so on).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Lin, K.: E-commerce technology: Back to a prominent future. IEEE Internet Computing 12, 60–65 (2008)

    Article  Google Scholar 

  2. Wikipedia, http://www.wikipedia.org/

  3. Porcel, C., López-Herrera, A., Herrera-Viedma, E.: A recommender system for research resources based on fuzzy linguistic modeling. Expert Systems with Applications 36, 5173–5183 (2009)

    Article  Google Scholar 

  4. Amazon, http://www.amazon.com/

  5. PollDaddy, http://www.polldaddy.com/

  6. BallotBin, http://www.ballotbin.com/

  7. Fodor, J., Roubens, M.: Fuzzy preference modelling and multicriteria decision support. Kluwer Academic Publishers, Dordrecht (1994)

    MATH  Google Scholar 

  8. Kacprzyk, J., Fedrizzi, M.: Multiperson decision making models using fuzzy sets and possibility theory. Kluwer Academic Publishers, Dordrecht (1990)

    MATH  Google Scholar 

  9. Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: Steps for solving decision problems under linguistic information. Fuzzy Sets and Systems 115, 67–82 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  10. Herrera-Viedma, E., Herrera, F., Chiclana, F.: A consensus model for multiperson decision making with different preference structures. IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems and Man 32(3), 394–402 (2002)

    Article  Google Scholar 

  11. Mata, F., Martínez, L., Herrera-Viedma, E.: An adaptive consensus support model for group decision making problems in a multi-granular fuzzy linguistic context. IEEE Transactions on Fuzzy Systems 17(2), 279–290 (2009)

    Article  Google Scholar 

  12. Herrera-Viedma, E., Chiclana, F., Herrera, F., Alonso, S.: Group decision-making model with incomplete fuzzy preference relations based on additive consistency. IEEE Transactions on Systems, Man and Cybernetics, Part B, Cybernetics 37(1), 176–189 (2007)

    Article  Google Scholar 

  13. Herrera-Viedma, E., Alonso, S., Chiclana, F., Herrera, F.: A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Transactions on Fuzzy Systems 15(5), 863–877 (2007)

    Article  Google Scholar 

  14. Cabrerizo, F., Moreno, J., Pérez, I., Herrera-Viedma, E.: Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks. Soft Computing (In press, 2009), doi:10.1007/s00500-009-0453-x

    Google Scholar 

  15. Cabrerizo, F., Alonso, S., Herrera-Viedma, E.: A consensus model for group decision making problems with unbalanced fuzzy linguistic information. International Journal of Information Technology & Decision Making 8(1), 109–131 (2009)

    Article  MATH  Google Scholar 

  16. Xu, Z.: Dynamic linguistic preference relations and their use in multi-period decision making. In: International Conference on Management Science and Engineering, Harbin, P.R. China, pp. 345–350 (2007)

    Google Scholar 

  17. Dia, H.: An agent-based approach to modelling driver route choice bahaviour under the influence of real-time information. Transportation Research Part C 10, 331–349 (2002)

    Article  Google Scholar 

  18. Clarke, H.: Classical decision rules and adaptation to climate change. The Australian Journal of Agricultural and Resource Economics 52, 487–504 (2008)

    Article  Google Scholar 

  19. Saaty, T.: Time dependent decision-making; dynamic priorities in the AHP/ANP: Generalizinf from points to functions and fro mreal to complex variables. Mathematical and Computer Modelling 46, 860–891 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  20. Ballester, M., García-Lapresta, J.: Group decision-making model with incomplete fuzzy preference relations based on additive consistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(2), 57–68 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  21. Baym, N.K.: The Emergence of On-line Community. In: Cybersociety 2.0., pp. 35–68. Sage, Thousand Oaks (1998)

    Google Scholar 

  22. Ling, K., Beenen, G., Ludford, P., Wang, X., Chang, K., Li, X., Cosley, D., Frankowski, D., Terveen, L., Rashid, A.M., Resnick, P., Kraut, R.: Using social psychology to motivate contributions to online communities. Journal of Computer-Mediated Communication 10(4) (2005)

    Google Scholar 

  23. Victor, P., Cornelis, C., Cock, M.D., da Silva, P.: Gradual trust and distrust in recommender systems. Fuzzy Sets and Systems 160(10), 1367–1382 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Alonso, S., Pérez, I.J., Cabrerizo, F.J., Herrera-Viedma, E. (2009). A Consensus Reaching Model for Web 2.0 Communities. In: Torra, V., Narukawa, Y., Inuiguchi, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2009. Lecture Notes in Computer Science(), vol 5861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04820-3_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04820-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04819-7

  • Online ISBN: 978-3-642-04820-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics