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A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems

A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems
A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems
This paper develops a hybrid model which provides a unified framework for the following four kinds of reasoning: 1)Zadeh's fuzzy approximate reasoning; 2) Truth qualification uncertain reasoning with respect to fuzzy propositions; 3)fuzzy default reasoning (proposed, in this paper, as an extension of Reiter's default reasoning); and 4)truth- qualification uncertain default reasoning associated with fuzzy statements (developed in this paper to enrich fuzzy default reasoning with uncertain information). Our hybrid model has the following characteristics: 1) basic uncertainty is estimated in terms of words or phrases in natural language and basic propositions are fuzzy; 2) uncertainty, linguistically expressed, can be handled in default reasoning; and 3) the four kinds of reasoning models mentioned above and their combination models will be the special cases of our hybrid model. Moreover, our model allows the reasoning to be performed in the case in which the information is fuzzy, uncertain and partial. More importantly, the problems of sharing the information among heterogenous fuzzy, uncertain and default reasoning models can be solved efficiently by using our model. Given this, our framework can be used as a basis for information sharing and exchange in knowledge-based multi-agent systems for practical applications such as automated group negotiations. Actually, to build such a foundation is the motivation of this paper.
401-450
Luo, X.
a883c26d-debf-44ce-9240-df70f65ddf53
Zhang, C.
fa728450-fee5-44d4-ac66-25b57611c58d
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Luo, X.
a883c26d-debf-44ce-9240-df70f65ddf53
Zhang, C.
fa728450-fee5-44d4-ac66-25b57611c58d
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Luo, X., Zhang, C. and Jennings, N. R. (2002) A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10 (4), 401-450.

Record type: Article

Abstract

This paper develops a hybrid model which provides a unified framework for the following four kinds of reasoning: 1)Zadeh's fuzzy approximate reasoning; 2) Truth qualification uncertain reasoning with respect to fuzzy propositions; 3)fuzzy default reasoning (proposed, in this paper, as an extension of Reiter's default reasoning); and 4)truth- qualification uncertain default reasoning associated with fuzzy statements (developed in this paper to enrich fuzzy default reasoning with uncertain information). Our hybrid model has the following characteristics: 1) basic uncertainty is estimated in terms of words or phrases in natural language and basic propositions are fuzzy; 2) uncertainty, linguistically expressed, can be handled in default reasoning; and 3) the four kinds of reasoning models mentioned above and their combination models will be the special cases of our hybrid model. Moreover, our model allows the reasoning to be performed in the case in which the information is fuzzy, uncertain and partial. More importantly, the problems of sharing the information among heterogenous fuzzy, uncertain and default reasoning models can be solved efficiently by using our model. Given this, our framework can be used as a basis for information sharing and exchange in knowledge-based multi-agent systems for practical applications such as automated group negotiations. Actually, to build such a foundation is the motivation of this paper.

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Published date: 2002
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 256876
URI: http://eprints.soton.ac.uk/id/eprint/256876
PURE UUID: 10481dbb-f879-4a19-b0fb-8178b6636265

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Date deposited: 12 Jun 2003
Last modified: 11 Nov 2019 21:13

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Contributors

Author: X. Luo
Author: C. Zhang
Author: N. R. Jennings

University divisions

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