A FUZZY RULE BASED ROADSIDE VEGETATION QUALITY INDEX
Aggregation of indicators into indices is an important part of data processing. Traditionally, simple scoring methods have been used to calculate roadside vegetation quality indices, but such methods suffer from a number of faults. This paper presents a fuzzy expert system approach to producing a roadside vegetation quality index, and this approach is demonstrated to be superior to the more traditional methods. The vegetation quality index is applied to a section of national highway in Tasmania. (a) For the covering entry of this conference, please see IRRD abstract no. 492019.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0869107836
-
Corporate Authors:
ARRB
Melbourne, Victoria Australia -
Authors:
- CARTER, S
- GILLIAN, J
- Conference:
- Publication Date: 1998
Language
- English
Media Info
- Features: References;
- Pagination: 305-22 (SESSION B)
Subject/Index Terms
- TRT Terms: Conferences; Management; Mathematical models; Quality control; Roads; Strategic planning; Vegetation; Width
- Uncontrolled Terms: Quality; Side
- Geographic Terms: Australia
- ITRD Terms: 155: Administration; 8006: Australia; 8525: Conference; 2755: Highway; 6473: Mathematical model; 141: Priority (gen); 9063: Quality; 9074: Side; 2488: Vegetation; 6479: Width
- Subject Areas: Administration and Management; Highways;
Filing Info
- Accession Number: 00769997
- Record Type: Publication
- Source Agency: ARRB
- ISBN: 0-86910-783-6
- Files: ITRD, ATRI
- Created Date: Oct 7 1999 12:00AM