Multi-criteria Decision Making with Existential Rules Using Repair Techniques

Nikos Karanikolas; Madalina Croitoru; Pierre Bisquert; Christos Kaklamanis; Rallou Thomopoulos; Bruno Yun

doi:10.1007/978-3-030-04191-515

Multi-criteria Decision Making with Existential Rules Using Repair Techniques

Nikos Karanikolas, Madalina Croitoru, Pierre Bisquert, Christos Kaklamanis, Rallou Thomopoulos, Bruno Yun

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

1 Citation (Scopus)

Abstract

In this paper, we explain how to benefit from the reasoning capabilities of existential rules for modelling an MCDM problem as an inconsistent knowledge base. The repairs of this knowledge base represent the maximally consistent point of views and inference strategies can be used for decision making.

Original language	English
Title of host publication	Artificial Intelligence XXXV
Subtitle of host publication	Proceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018
Editors	M Bramer, M Petridis
Publisher	Springer
Pages	177-183
Number of pages	7
ISBN (Electronic)	978-3-030-04191-5
ISBN (Print)	978-3-030-04190-8
DOIs	https://doi.org/10.1007/978-3-030-04191-515
Publication status	Published - 2018
Event	Proceedings 38th SGAI International Conference on Artificial Intelligence - Cambridge, United Kingdom Duration: 11 Dec 2018 → 13 Dec 2018

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11311
ISSN (Print)	0302-9743

Conference

Conference	Proceedings 38th SGAI International Conference on Artificial Intelligence
Abbreviated title	AI 2018
Country/Territory	United Kingdom
City	Cambridge
Period	11/12/18 → 13/12/18

Access to Document

10.1007/978-3-030-04191-515Licence: Unspecified

Cite this

Karanikolas, N., Croitoru, M., Bisquert, P., Kaklamanis, C., Thomopoulos, R., & Yun, B. (2018). Multi-criteria Decision Making with Existential Rules Using Repair Techniques. In M. Bramer, & M. Petridis (Eds.), Artificial Intelligence XXXV : Proceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018 (pp. 177-183). (Lecture Notes in Computer Science; Vol. 11311). Springer . https://doi.org/10.1007/978-3-030-04191-515

Multi-criteria Decision Making with Existential Rules Using Repair Techniques. / Karanikolas, Nikos; Croitoru, Madalina; Bisquert, Pierre et al.
Artificial Intelligence XXXV : Proceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018. ed. / M Bramer; M Petridis . Springer , 2018. p. 177-183 (Lecture Notes in Computer Science; Vol. 11311).

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

Karanikolas, N, Croitoru, M, Bisquert, P, Kaklamanis, C, Thomopoulos, R & Yun, B 2018, Multi-criteria Decision Making with Existential Rules Using Repair Techniques. in M Bramer & M Petridis (eds), Artificial Intelligence XXXV : Proceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018. Lecture Notes in Computer Science, vol. 11311, Springer , pp. 177-183, Proceedings 38th SGAI International Conference on Artificial Intelligence, Cambridge, United Kingdom, 11/12/18. https://doi.org/10.1007/978-3-030-04191-515

Karanikolas N, Croitoru M, Bisquert P, Kaklamanis C, Thomopoulos R, Yun B. Multi-criteria Decision Making with Existential Rules Using Repair Techniques. In Bramer M, Petridis M, editors, Artificial Intelligence XXXV : Proceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018. Springer . 2018. p. 177-183. (Lecture Notes in Computer Science). Epub 2018 Nov 16. doi: 10.1007/978-3-030-04191-515

@inproceedings{c52c1480f3c44be29d6bab27c4ca654e,

title = "Multi-criteria Decision Making with Existential Rules Using Repair Techniques",

abstract = "In this paper, we explain how to benefit from the reasoning capabilities of existential rules for modelling an MCDM problem as an inconsistent knowledge base. The repairs of this knowledge base represent the maximally consistent point of views and inference strategies can be used for decision making.",

author = "Nikos Karanikolas and Madalina Croitoru and Pierre Bisquert and Christos Kaklamanis and Rallou Thomopoulos and Bruno Yun",

year = "2018",

doi = "10.1007/978-3-030-04191-515",

language = "English",

isbn = "978-3-030-04190-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer ",

pages = "177--183",

editor = "M Bramer and {Petridis }, M",

booktitle = "Artificial Intelligence XXXV",

note = "Proceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018 ; Conference date: 11-12-2018 Through 13-12-2018",

}

TY - GEN

T1 - Multi-criteria Decision Making with Existential Rules Using Repair Techniques

AU - Karanikolas, Nikos

AU - Croitoru, Madalina

AU - Bisquert, Pierre

AU - Kaklamanis, Christos

AU - Thomopoulos, Rallou

AU - Yun, Bruno

PY - 2018

Y1 - 2018

N2 - In this paper, we explain how to benefit from the reasoning capabilities of existential rules for modelling an MCDM problem as an inconsistent knowledge base. The repairs of this knowledge base represent the maximally consistent point of views and inference strategies can be used for decision making.

AB - In this paper, we explain how to benefit from the reasoning capabilities of existential rules for modelling an MCDM problem as an inconsistent knowledge base. The repairs of this knowledge base represent the maximally consistent point of views and inference strategies can be used for decision making.

U2 - 10.1007/978-3-030-04191-515

DO - 10.1007/978-3-030-04191-515

M3 - Published conference contribution

SN - 978-3-030-04190-8

T3 - Lecture Notes in Computer Science

SP - 177

EP - 183

BT - Artificial Intelligence XXXV

A2 - Bramer, M

A2 - Petridis , M

PB - Springer

T2 - Proceedings 38th SGAI International Conference on Artificial Intelligence

Y2 - 11 December 2018 through 13 December 2018

ER -

Multi-criteria Decision Making with Existential Rules Using Repair Techniques

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this