USE OF FUZZY RELATIONS TO MANAGE DECISIONS IN PRESERVING CIVIL INFRASTRUCTURE

The use of fuzzy relations to manage uncertain information in civil infrastructure preservation is addressed. Subjectivity and imprecision of uncertain information and ambiguity of terminological knowledge in preserving infrastructure facilities are the primary motivation for the employment of fuzzy sets and fuzzy relations. Formal decision processes use the concept of knowledge graphs that enable the establishment of general-specific or cause-effect relations between condition factors, as well as relations between condition and symptom factors. Fuzzy relations allow the characterization of the uncertainty associated with these relations. Fuzzy graphs assimilating the degree of certainty involved in decision processes are used to illustrate the connection strength of the elements in the associated fuzzy subsets. A case study in pavement preservation applied to the New York State Thruway is presented. This research makes contributions to synthesizing uncertain information involved in the decision processes of preserving civil infrastructure. In particular, the case study exemplifies the benefits of using fuzzy relations to identify feasible treatment options.

• Record URL:
  • http://onlinepubs.trb.org/Onlinepubs/trr/1995/1497/1497-002.pdf
• Record URL:
  • https://scholar.google.com/scholar_lookup?title=USE+OF+FUZZY+RELATIONS+TO+MANAGE+DECISIONS+IN+PRESERVING+CIVIL+INFRASTRUCTURE&author=D.+Grivas&author=Y.+Shen&publication_year=1995
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• Supplemental Notes:
  • This paper appears in Transportation Research Record No. 1497, Artificial Intelligence and Geographical Information. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
• Authors:
  • Grivas, Dimitri A
  • Shen, Yung-Ching
• Publication Date: 1995

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 10-18
• Monograph Title: Artificial intelligence and geographical information
• Serial:
  • Transportation Research Record
  • Issue Number: 1497
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Alternatives analysis; Case studies; Decision making; Fuzzy logic; Fuzzy sets; Identification systems; Infrastructure; Pavements; Preservation; Uncertainty
• Uncontrolled Terms: Identification; Options
• Old TRIS Terms: Fuzzy relations; Treatments
• Subject Areas: Highways; Maintenance and Preservation; Pavements; I61: Equipment and Maintenance Methods;

Filing Info

• Accession Number: 00714938
• Record Type: Publication
• ISBN: 0309061636
• Files: TRIS, TRB
• Created Date: Dec 20 1995 12:00AM