A procedure of implication using quantifiable binary relations for structural modeling

A procedure of implication using quantifiable binary relations for structural modeling

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Article ID: iaor19961696
Country: Japan
Volume: 38
Issue: 3
Start Page Number: 289
End Page Number: 300
Publication Date: Sep 1995
Journal: Journal of the Operations Research Society of Japan
Authors: ,
Keywords: decision, systems
Abstract:

In the field of system engineering, numerous proposals have been made for structural modeling. In the many structural modeling methods, the first process is to make a binary relation matrix. This process is difficult because the number of questions to extract binary relation is equ1; where n is the number of elements. Structural modeling can be divided into two types. One has a 0-1 type of binary relation. Another has a quantifiable, more general, binary relation. In the former, this process supposes the relation has a transitive property, it infers the unknown binary relation using the transitive property. But the latter has no such procedure in this process. So the authors propose a procedure in this paper. The proposed procedure is based on the same idea as the former. Suppose the binary relation has the transitive property; it infers the unknown binary relation using this. In this paper, the quantifiable binary relation is represented by a rank scale. The set of system elements is missing1(n is the number of system elements). ( missing2 has R relation to missing3 shown missing4). Finite ordinal set missing5 means quantifiable binary relation for all missing6. The binary relation must have ‘reflexive property’ and ‘transitive property’ like reflexiveness and transitiveness. The reflexive property is missing7. The transitive property is missing8. [In Japanese.]

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