TL;DR
This paper introduces a logical framework called fuzzy answer set optimization programs that unifies reasoning about quantitative and qualitative preferences, demonstrated through course scheduling applications.
Contribution
It is the first to provide a logical framework for reasoning about both types of preferences simultaneously in fuzzy answer set programming.
Findings
Successfully applied to course scheduling with fuzzy preferences
First to unify quantitative and qualitative preferences logically
Demonstrates practical applicability in scheduling problems
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.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Advanced Algebra and Logic · Semantic Web and Ontologies