International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 61 - Number 7 |
Year of Publication: 2013 |
Authors: Supriya Raheja, Reena Dhadich |
10.5120/9942-4579 |
Supriya Raheja, Reena Dhadich . Many-Valued Logics for Modeling Vagueness. International Journal of Computer Applications. 61, 7 ( January 2013), 35-39. DOI=10.5120/9942-4579
Many-Valued logics have been developed to represent mathematical model of imprecision, vagueness, uncertainty and ambiguity in the information. In real world each and every species is vague, human knowledge and the natural languages have a bunch of vagueness or imprecise information. This paper attempts to present three main theories of many-valued logics to treat the vagueness: Fuzzy Logic, Vague Logic and Neutrosophic Logic. Author touches the various perspectives logical, algebraic operation, graphical representations and the practical usage. This paper addresses the modeling of vagueness. Author introduces the framework, Vague Inference System (VIS) for modeling the vagueness using vague logic.