Parameterized uncertain reasoning approach based on a lattice-valued logic

Shuwei Chen; Jun Liu; Hui Wang; Juan Carlos Augusto

doi:10.1007/978-3-642-22152-1_49

Parameterized uncertain reasoning approach based on a lattice-valued logic

Shuwei Chen^*
, Jun Liu
, Hui Wang
, Juan Carlos Augusto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper presents a parameterized reasoning approach with uncertainty based on a lattice-valued logic system. In this uncertain reasoning approach, some parameters are used to represent uncertainty arising from different sources, which is a common phenomenon in rule-based systems. In our system, reasoning with different parameter values means reasoning with different levels of belief and consistency. Some methods are presented for selecting appropriate parameter values during the uncertain reasoning process which allow us to find suitable parameter values to meet the diverse practical and theoretical requirements.

Original language	English
Title of host publication	Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings
Place of Publication	Switzerland
Publisher	Springer
Pages	582-593
Number of pages	12
ISBN (Print)	9783642221514
DOIs	https://doi.org/10.1007/978-3-642-22152-1_49
Publication status	Published - 2011
Externally published	Yes
Event	11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011 - Belfast, United Kingdom Duration: 29 Jun 2011 → 01 Jul 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6717 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011
Country/Territory	United Kingdom
City	Belfast
Period	29/06/2011 → 01/07/2011

Access to Document

10.1007/978-3-642-22152-1_49Licence: Unspecified

Cite this

Chen, S., Liu, J., Wang, H., & Augusto, J. C. (2011). Parameterized uncertain reasoning approach based on a lattice-valued logic. In Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings (pp. 582-593). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6717 LNAI). Springer. https://doi.org/10.1007/978-3-642-22152-1_49

Chen, Shuwei ; Liu, Jun ; Wang, Hui et al. / Parameterized uncertain reasoning approach based on a lattice-valued logic. Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings. Switzerland : Springer, 2011. pp. 582-593 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6db698d3fc1042768e7e4ae6cc3fa095,

title = "Parameterized uncertain reasoning approach based on a lattice-valued logic",

abstract = "This paper presents a parameterized reasoning approach with uncertainty based on a lattice-valued logic system. In this uncertain reasoning approach, some parameters are used to represent uncertainty arising from different sources, which is a common phenomenon in rule-based systems. In our system, reasoning with different parameter values means reasoning with different levels of belief and consistency. Some methods are presented for selecting appropriate parameter values during the uncertain reasoning process which allow us to find suitable parameter values to meet the diverse practical and theoretical requirements.",

author = "Shuwei Chen and Jun Liu and Hui Wang and Augusto, \{Juan Carlos\}",

year = "2011",

doi = "10.1007/978-3-642-22152-1\_49",

language = "English",

isbn = "9783642221514",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "582--593",

booktitle = "Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings",

note = "11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011 ; Conference date: 29-06-2011 Through 01-07-2011",

}

Chen, S, Liu, J, Wang, H & Augusto, JC 2011, Parameterized uncertain reasoning approach based on a lattice-valued logic. in Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6717 LNAI, Springer, Switzerland, pp. 582-593, 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011, Belfast, United Kingdom, 29/06/2011. https://doi.org/10.1007/978-3-642-22152-1_49

Parameterized uncertain reasoning approach based on a lattice-valued logic. / Chen, Shuwei; Liu, Jun; Wang, Hui et al.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings. Switzerland: Springer, 2011. p. 582-593 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6717 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Parameterized uncertain reasoning approach based on a lattice-valued logic

AU - Chen, Shuwei

AU - Liu, Jun

AU - Wang, Hui

AU - Augusto, Juan Carlos

PY - 2011

Y1 - 2011

N2 - This paper presents a parameterized reasoning approach with uncertainty based on a lattice-valued logic system. In this uncertain reasoning approach, some parameters are used to represent uncertainty arising from different sources, which is a common phenomenon in rule-based systems. In our system, reasoning with different parameter values means reasoning with different levels of belief and consistency. Some methods are presented for selecting appropriate parameter values during the uncertain reasoning process which allow us to find suitable parameter values to meet the diverse practical and theoretical requirements.

AB - This paper presents a parameterized reasoning approach with uncertainty based on a lattice-valued logic system. In this uncertain reasoning approach, some parameters are used to represent uncertainty arising from different sources, which is a common phenomenon in rule-based systems. In our system, reasoning with different parameter values means reasoning with different levels of belief and consistency. Some methods are presented for selecting appropriate parameter values during the uncertain reasoning process which allow us to find suitable parameter values to meet the diverse practical and theoretical requirements.

U2 - 10.1007/978-3-642-22152-1_49

DO - 10.1007/978-3-642-22152-1_49

M3 - Conference contribution

SN - 9783642221514

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 582

EP - 593

BT - Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings

PB - Springer

CY - Switzerland

T2 - 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011

Y2 - 29 June 2011 through 1 July 2011

ER -

Chen S, Liu J, Wang H, Augusto JC. Parameterized uncertain reasoning approach based on a lattice-valued logic. In Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings. Switzerland: Springer. 2011. p. 582-593. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-22152-1_49

Parameterized uncertain reasoning approach based on a lattice-valued logic

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this