A fuzzy expert system for rigging system design
Joint Authors
Ahmad, Adil Muhammad al-Bashir
Shukri, Muhammad Ibrahim
Abd al-Wahid, Wail Fathi
Source
Journal of Science and Technology
Issue
Vol. 12, Issue 2 (31 Dec. 2011), pp.124-134, 11 p.
Publisher
Sudan University of Science and Technology Deanship of Scientific Research
Publication Date
2011-12-31
Country of Publication
Sudan
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a fuzzy expert system that classifies cast component features and designs the rigging system in sand casting.
The heuristic rules encoded inside the system were extracted from expertise and published literature.
The rules consist of the conclusion for condition connected by IFTHEN clauses to judge the relationship between the classification and rigging system design.
Input and output variables are defined by fuzzy sets which deals explicitly with uncertainty associated with knowledge in the heuristic rules.
Conclusions inferred from input parameters were combined through inference and defuzzification process.
A design condition chart was developed to evaluate fuzzy system results.
The rigging system design elements were analyzed based on: membership values, design and cost status in the chart KEYWORDS: fuzzy expert system, classification system, rigging system, membership, design control.
American Psychological Association (APA)
Ahmad, Adil Muhammad al-Bashir& Shukri, Muhammad Ibrahim& Abd al-Wahid, Wail Fathi. 2011. A fuzzy expert system for rigging system design. Journal of Science and Technology،Vol. 12, no. 2, pp.124-134.
https://search.emarefa.net/detail/BIM-298452
Modern Language Association (MLA)
Ahmad, Adil Muhammad al-Bashir…[et al.]. A fuzzy expert system for rigging system design. Journal of Science and Technology Vol. 12, no. 2 (2011), pp.124-134.
https://search.emarefa.net/detail/BIM-298452
American Medical Association (AMA)
Ahmad, Adil Muhammad al-Bashir& Shukri, Muhammad Ibrahim& Abd al-Wahid, Wail Fathi. A fuzzy expert system for rigging system design. Journal of Science and Technology. 2011. Vol. 12, no. 2, pp.124-134.
https://search.emarefa.net/detail/BIM-298452
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 133-134
Record ID
BIM-298452