Fuzzy Maximum Satisfiability
| Title | Fuzzy Maximum Satisfiability |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | El Halaby, Mohamed, Abdalla, Areeg |
| Conference Name | Proceedings of the 10th International Conference on Informatics and Systems |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4062-5 |
| Keywords | \textbackslashLukasiewicz Logic, cyber physical systems, Fuzzy logic, Fuzzy Satisfiability, Maximum Satisfiability, Metrics, Optimization, pubcrawl, Resiliency |
| Abstract | In this paper, we extend the Maximum Satisfiability (MaxSAT) problem to Lukasiewicz logic. The MaxSAT problem for a set of formulae F is the problem of finding an assignment to the variables in F that satisfies the maximum number of formulae. Three possible solutions (encodings) are proposed to the new problem: (1) Disjunctive Linear Relations (DLRs), (2)Mixed Integer Linear Programming (MILP) and (3)Weighted Constraint Satisfaction Problem (WCSP). Like its Boolean counterpart, the extended fuzzy MaxSAT will have numerous applications in optimization problems that involve vagueness. |
| URL | http://doi.acm.org/10.1145/2908446.2908476 |
| DOI | 10.1145/2908446.2908476 |
| Citation Key | el_halaby_fuzzy_2016 |