From Fuzzy Input Requirements To Crisp Design

Author

Ali Bahrami, Missouri University of Science and Technology
Cihan H. Dagli, Missouri University of Science and TechnologyFollow

Abstract

Design is a highly knowledge-intensive and ill-structured problem. Most of the practical problems we face in a design are either too complex or too ill-defined to analyse with conventional approaches. By defining functional requirements as a fuzzy set, one can perform inexact reasoning during the conceptual or creative phase of the design process. In this paper the feasibility of utilising fuzzy associative memory (FAM) in design automation is examined. The FAM paradigm exploits the relationships between functional requirements and physical structures in order to map fuzzy functional requirements to a crisp design. © 1993 Springer-Verlag.

Recommended Citation

A. Bahrami and C. H. Dagli, "From Fuzzy Input Requirements To Crisp Design," The International Journal of Advanced Manufacturing Technology, vol. 8, no. 1, pp. 52 - 60, Springer, Jan 1993.

The definitive version is available at https://doi.org/10.1007/BF01756637

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Binary relation sagittal diagram; FAM rule; Fuzzy associative memory; Fuzzy set; Max- min composition

International Standard Serial Number (ISSN)

1433-3015; 0268-3768

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Springer, All rights reserved.

Publication Date

01 Jan 1993