• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.321-331
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• 1997

Measurement of attributes is often highly subjective and imprecise, yet most MADM methods lack provisions for handling imprecise data. Frequently, decision makers must establish a ranking within a finite set of alternatives with respect to multiple attributes which have varying degrees of importance. The problem is more complex if the evaluations of alternatives according to each attribute are not expressed in precise numbers, but rather in fuzzy numbers. Analysis must allow for lack of precision and partial truth. The advantages of a fuzzy approach for MADM are that a decision maker can obtain efficient solutions all at once without trial and error, and that this approach provides better support for judging the interactive improvement of solutions in comparison with o decision making method. The algorithm used in this study is based on the concepts of vague set theory. Linguistic variables and vague values are used to facilitate a decision maker's subjective assessment about attribute weightings and the appropriateness of alternative versus selection attributes in order to obtain final scores which are called vague appropriateness indices. A numerical example is presented to show the practical applicability of this approach.

• Korean Journal of Logic
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• v.4
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• pp.109-123
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• 2000

데이빗슨은 "Slingshot 논변"이라는 그의 유명한 논변을 이용하여 진리 대응론을 비판한다. 그의 논변은 타당하지만, 다음 두 전제들에 의존한다. (1) 논리적으로 동치인 문장들은 같은 사실에 대응한다. (2) 참인 문장은 그 문장 내의 한 단칭어가 공지시적 단칭어에 의해 대체될 때 대응하는 사실이 변하지 않는다. 이 논문에서 필자는 두 번째 전제가 설득력이 없음을, 특히, Slingshot 논변의 구성을 위해 필수적인 통일성 문장들에 대해서 설득력이 없음을 주장한다.