Abductive design for a mixture of two components

Author

Tanaka, Hiroyuki ; Katai, Ferenc ; Yoon, Taesung

Author_Institution

Res. Lab. of Resources Utilization, Tokyo Inst. of Technol., Yokohama, Japan

Volume

5

fYear

1999

fDate

1999

Firstpage

159

Abstract

In Tanaka and Naka (1996), a methodology was presented to overcome the difficulty in predicting nonlinear cooperative effects due to mixing components. The basic framework was adapted to consecutive human knowledge representation and acquisition, integrating two methodologies, such as fuzzy clustering as pattern recognition (knowledge representation) and logical procedure (knowledge acquisition). In this paper, three inference patterns of deduction, induction and abduction, are developed in accordance with Peirce´s terminology

Keywords

fuzzy set theory; inference mechanisms; knowledge acquisition; knowledge representation; pattern clustering; abduction; abductive design; deduction; fuzzy clustering; human knowledge acquisition; human knowledge representation; induction; inference patterns; logical procedure; mixing; nonlinear cooperative effects; Data mining; Fuzzy logic; Fuzzy sets; Humans; Knowledge representation; Laboratories; Neural networks; Pattern recognition; Problem-solving; Terminology;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.815541

Filename

815541