Logical Fuzzy Preferences
Artificial Intelligence
2013-04-11 v1
Abstract
We present a unified logical framework for representing and reasoning about both quantitative and qualitative preferences in fuzzy answer set programming, called fuzzy answer set optimization programs. The proposed framework is vital to allow defining quantitative preferences over the possible outcomes of qualitative preferences. We show the application of fuzzy answer set optimization programs to the course scheduling with fuzzy preferences problem. To the best of our knowledge, this development is the first to consider a logical framework for reasoning about quantitative preferences, in general, and reasoning about both quantitative and qualitative preferences in particular.
Cite
@article{arxiv.1304.2797,
title = {Logical Fuzzy Preferences},
author = {Emad Saad},
journal= {arXiv preprint arXiv:1304.2797},
year = {2013}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1304.2384