Fuzzy-logic-based ranking of steel grades generated by material design KBS

Citation
Ss. Shivathaya et Xd. Fang, Fuzzy-logic-based ranking of steel grades generated by material design KBS, ENG APP ART, 12(4), 1999, pp. 503-512
Citations number
12
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
ISSN journal
09521976 → ACNP
Volume
12
Issue
4
Year of publication
1999
Pages
503 - 512
Database
ISI
SICI code
0952-1976(199908)12:4<503:FROSGG>2.0.ZU;2-M
Abstract
A material design system has been developed, utilising mathematical modelin g and knowledge-based approaches. The Knowledge-Based System (KBS) generate s about 15-30 different target compositions for steelmaking for each custom er order. Fuzzy logic is applied in the system for the design of steel plat es, to rank the alternative target compositions for steelmaking according t o the degree to which they will satisfy the customer's requirements of chem ical and mechanical properties, with due consideration given to the economi c aspects and the complexity involved in the production. Statistical data r egarding the performance of the grades produced in the past are also utilis ed in this process. The development of individual, composite and Weighted S um Membership Functions (WSMFs) has been identified as very important in re alistically ranking the target compositions for steelmaking. (C) 1999 Elsev ier Science Ltd. All rights reserved.