00637879

Component

http://onlinepubs.trb.org...trr/1993/1399/1399-004.pdf

https://scholar.google.co...hosh&publication_year=1993

Some of the fundamental issues in the civil engineering application of fuzzy set theory are addressed, and an overview of various types of solution approaches is presented. Emphasis is placed on the Type II approach, in which the solution model is deterministic and the input is fuzzy. Issues addressed include representation and processing of fuzzy information and interpretation of fuzzy output. The new methods developed and presented in this paper include the interpretation of fuzzy output by the alpha-level distance model and a new approach to performing multiple linear regression of fuzzy data. An example dealing with fuzzy multiple linear regression is presented to illustrate various aspects of the issues addressed.

This paper appears in Transportation Research Record No. 1399, Artificial Intelligence. 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

01403238

English

p. 20-26

1993

Transportation Research Record

0309054710

Figures (4) ; References (30) ; Tables (8)

Civil engineering; Fuzzy logic; Fuzzy sets; Information processing

Interpretation

Administration and Management; Highways; I10: Economics and Administration

TRIS, TRB, ATRI

Oct 21 1993 12:00AM

• COMPARISON OF RULE-BASED AND NEURAL NETWORK SOLUTIONS FOR A STRUCTURED SELECTION PROBLEM
• DYNAMIC TRAFFIC PATTERN CLASSIFICATION USING ARTIFICIAL NEURAL NETWORKS
• FREEWAY INCIDENT MANAGEMENT EXPERT SYSTEM DESIGN
• MODELING OF DRIVER ANXIETY DURING SIGNAL CHANGE INTERVALS
• NEURAL-NETWORK-BASED PROCEDURE FOR CONDITION ASSESSMENT OF UTILITY CUTS IN FLEXIBLE PAVEMENTS