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).
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References
Lin, K.: E-commerce technology: Back to a prominent future. IEEE Internet Computing 12, 60–65 (2008)
Wikipedia, http://www.wikipedia.org/
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)
Amazon, http://www.amazon.com/
PollDaddy, http://www.polldaddy.com/
BallotBin, http://www.ballotbin.com/
Fodor, J., Roubens, M.: Fuzzy preference modelling and multicriteria decision support. Kluwer Academic Publishers, Dordrecht (1994)
Kacprzyk, J., Fedrizzi, M.: Multiperson decision making models using fuzzy sets and possibility theory. Kluwer Academic Publishers, Dordrecht (1990)
Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: Steps for solving decision problems under linguistic information. Fuzzy Sets and Systems 115, 67–82 (2000)
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)
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)
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)
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)
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
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)
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)
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)
Clarke, H.: Classical decision rules and adaptation to climate change. The Australian Journal of Agricultural and Resource Economics 52, 487–504 (2008)
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)
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)
Baym, N.K.: The Emergence of On-line Community. In: Cybersociety 2.0., pp. 35–68. Sage, Thousand Oaks (1998)
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)
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)
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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
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DOI: https://doi.org/10.1007/978-3-642-04820-3_23
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