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 proceedingConference contribution

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 languageEnglish
Title of host publicationArtificial Intelligence XXXV
Subtitle of host publicationProceedings 38th SGAI International Conference on Artificial Intelligence, AI 2018
EditorsM Bramer, M Petridis
PublisherSpringer
Pages177-183
Number of pages7
ISBN (Electronic)978-3-030-04191-5
ISBN (Print)978-3-030-04190-8
DOIs
Publication statusPublished - 2018
EventProceedings 38th SGAI International Conference on Artificial Intelligence - Cambridge, United Kingdom
Duration: 11 Dec 201813 Dec 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11311
ISSN (Print)0302-9743

Conference

ConferenceProceedings 38th SGAI International Conference on Artificial Intelligence
Abbreviated titleAI 2018
CountryUnited Kingdom
CityCambridge
Period11/12/1813/12/18

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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