학술논문

Syllogistic Yapıların Yönlü Graflar Üzerinde Matematiksel Modellenmesi
Document Type
Conference
Source
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019 3rd International Symposium on. :1-7 Oct, 2019
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Inference algorithms
Decision making
Tires
Proposals
Linguistics
Cognition
Expert systems
syllogism
propositional logic
algorithm
digraph
quantifier
decision making
inference
Language
Abstract
The propositions express only a claim, a judgment, a proposal or a declaration. They are linguistic units, which consist of a subject, a predicate, and a conjunction and they have a true or false logical value and proclaim a judgment. Conditional propositions are propositions in which the judiciary depends on a condition. These propositions are formed by combining two simple propositions with the conjunction "if". Syllogism is called the derivation of a provision from two premises through deductive reasoning. In this study, conditional propositions that their structures are syllogistic, are modelled with directional graphs. It is evolved out of proposition "p are q" by accepting that the values of all conditional propositions that used are true. Exemplarily; a list of complex propositions that generate with conditional link is modelled with theory of graph. This graph is calculated in such a way as to nodes express propositions and edges express conditional link between two propositions. In that graph, other propositions that every structures can reach and create theorems with algorithm DFS (Depth First Search) was argued. As a result, new inferences that cannot appeared in a complex indicated propositions list are analyzed and new propositions that are true and have "all" or "some" quantifier emerge after examination are shown. With these inferences, it is foreseen to provide support to decision-making processes and expert systems.