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2017 | OriginalPaper | Chapter

A Fuzzy Logic Based Policy Negotiation Model

Authors : Jieyu Zhan, Xudong Luo, Yuncheng Jiang, Wenjun Ma, Mukun Cao

Published in: Knowledge Science, Engineering and Management

Publisher: Springer International Publishing

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Abstract

Few existing policy generation models can reflect the fact that self-interested stockholders often need to interact when generating a set of policies acceptable to them all. To this end, this paper proposes a negotiation model for policy generation. In this model, each negotiating agent employs a fuzzy logic system to evaluate each policy in a proposal made by others during their negotiation, and then uses a uninorm operator to aggregate the evaluations of all the single policies in the proposal to gain an overall evaluation of the proposal. Moreover, different negotiating agent can use different fuzzy reasoning systems. Finally, we do some experiments to reveal some insights into our model.

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Literature
1.
Adabi, S., Movaghar, A., Masoud Rahmani, A., Beigy, H., Dastmalchy-Tabrizi, H.: A new fuzzy negotiation protocol for grid resource allocation. J. Netw. Comput. Appl. 37(39), 89–126 (2014)CrossRef
2.
Arrow, K.J.: Social Choice and Individual Values, vol. 12. Yale University Press, New Haven (2012)MATH
3.
Davis, R., Smith, R.G.: Negotiation as a metaphor for distributed problem solving. Artif. Intell. 20(1), 63–109 (1983)CrossRef
4.
5.
Fu, X., Zeng, X.J., Wang, D., Xu, D., Yang, L.: Fuzzy system approaches to negotiation pricing decision support. J. Intell. Fuzzy Syst. 29(2), 685–699 (2015)CrossRef
6.
González, E., Espín, R.A., Fernández, E.: Negotiation based on fuzzy logic and knowledge engineering: some case studies. Group Decis. Negot. 25(2), 373–397 (2016)CrossRef
7.
Haberland, V., Miles, S., Luck, M.: Adjustable fuzzy inference for adaptive grid resource negotiation. In: Fujita, K., Ito, T., Zhang, M., Robu, V. (eds.) Next Frontier in Agent-Based Complex Automated Negotiation. SCI, vol. 596, pp. 37–57. Springer, Tokyo (2015). doi:10.​1007/​978-4-431-55525-4_​3
8.
Jing, X., Zhang, D., Luo, X., Zhan, J.: A logical multidemand bargaining model with integrity constraints. Int. J. Intell. Syst. 31(7), 673–697 (2016)CrossRef
9.
Kolomvatsos, K., Trivizakis, D., Hadjiefthymiades, S.: An adaptive fuzzy logic system for automated negotiations. Fuzzy Sets Syst. 269, 135–152 (2015)MathSciNetCrossRef
10.
Luo, X., Jennings, N.R., Shadbolt, N., Leung, H.-F., Lee, J.H.-M.: A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments. Artif. Intell. 148(1), 53–102 (2003)CrossRefMATH
11.
Luo, X., Miao, C., Jennings, N.R., He, M., Shen, Z., Zhang, M.: KEMNAD: a knowledge engineering methodology for negotiating agent development. Comput. Intell. 28(1), 51–105 (2012)MathSciNetCrossRef
12.
Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man-Mach. Stud. 7(1), 1–13 (1975)CrossRefMATH
13.
14.
Shojaiemehr, B., Rafsanjani, M.K.: A fuzzy system approach to multilateral automated negotiation in B2C e-commerce. Neural Comput. Appl. 25(2), 367–377 (2014)CrossRef
15.
16.
17.
Zhan, J., Luo, X.: Adaptive conceding strategies for negotiating agents based on interval type-2 fuzzy logic. In: Lehner, F., Fteimi, N. (eds.) KSEM 2016. LNCS, vol. 9983, pp. 222–235. Springer, Cham (2016). doi:10.​1007/​978-3-319-47650-6_​18 CrossRef
18.
Zhan, J., Luo, X., Feng, C., Ma, W.: A fuzzy logic based bargaining model in discrete domains: axiom, elicitation and property. In: 2014 IEEE International Conference on Fuzzy Systems, pp. 424–431 (2014)
19.
20.
Zhang, D., Zhang, Y.: An ordinal bargaining solution with fixed-point property. J. Artif. Intell. Res. 33(1), 433–464 (2008)MathSciNetMATH
Metadata
Title
A Fuzzy Logic Based Policy Negotiation Model
Authors
Jieyu Zhan
Xudong Luo
Yuncheng Jiang
Wenjun Ma
Mukun Cao
Copyright Year
2017
Book
Knowledge Science, Engineering and Management

Print ISBN: 978-3-319-63557-6

Electronic ISBN: 978-3-319-63558-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-63558-3_7

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