Mapping slope failure potential using fuzzy sets

C. H. Juang, Der-Her Lee, C. Sheu

Research output: Contribution to journalArticle

119 Citations (Scopus)

Abstract

This paper documents a low-cost, qualitative evaluation scheme using a fuzzy set analysis for mapping slope failure potential (SFP). Four categories of factors affecting stability of natural slopes, i.e., geology, topography, meteorology, and environment, are considered. Each category involves two to five factors, and a total of 13 factors is used in the proposed evaluation scheme. A set of evaluation criteria was established for each adopted factor. In the proposed evaluation scheme, slope failure potential is assessed and recorded in linguistic terms based on the established criteria. The linguistic data or information obtained from the assessments is represented and processed using fuzzy sets. In this study, the analysis or computation involving fuzzy sets was performed using the Monte Carlo simulation technique. An SFP index to measure the slope failure potential is defined. Based on the computed SFP values for a large number of subareas or cells selected for an area studied, an SFP map can be developed. An example application is presented to demonstrate the method. The SFP map developed in the case study seems to be able to correctly predict the slope failure potential of the area studied.

Original languageEnglish
Pages (from-to)475-494
Number of pages20
JournalJournal of Geotechnical Engineering
Volume118
Issue number3
DOIs
Publication statusPublished - 1992 Jan 1

Fingerprint

slope failure
Fuzzy sets
Linguistics
Meteorology
Geology
Topography
Costs
meteorology
geology
topography
cost
simulation
evaluation

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Environmental Science(all)

Cite this

Juang, C. H. ; Lee, Der-Her ; Sheu, C. / Mapping slope failure potential using fuzzy sets. In: Journal of Geotechnical Engineering. 1992 ; Vol. 118, No. 3. pp. 475-494.
@article{a817e18642be4f4486e1de96702c981b,
title = "Mapping slope failure potential using fuzzy sets",
abstract = "This paper documents a low-cost, qualitative evaluation scheme using a fuzzy set analysis for mapping slope failure potential (SFP). Four categories of factors affecting stability of natural slopes, i.e., geology, topography, meteorology, and environment, are considered. Each category involves two to five factors, and a total of 13 factors is used in the proposed evaluation scheme. A set of evaluation criteria was established for each adopted factor. In the proposed evaluation scheme, slope failure potential is assessed and recorded in linguistic terms based on the established criteria. The linguistic data or information obtained from the assessments is represented and processed using fuzzy sets. In this study, the analysis or computation involving fuzzy sets was performed using the Monte Carlo simulation technique. An SFP index to measure the slope failure potential is defined. Based on the computed SFP values for a large number of subareas or cells selected for an area studied, an SFP map can be developed. An example application is presented to demonstrate the method. The SFP map developed in the case study seems to be able to correctly predict the slope failure potential of the area studied.",
author = "Juang, {C. H.} and Der-Her Lee and C. Sheu",
year = "1992",
month = "1",
day = "1",
doi = "10.1061/(ASCE)0733-9410(1992)118:3(475)",
language = "English",
volume = "118",
pages = "475--494",
journal = "Journal of Geotechnical and Geoenvironmental Engineering - ASCE",
issn = "1090-0241",
publisher = "American Society of Civil Engineers (ASCE)",
number = "3",

}

Mapping slope failure potential using fuzzy sets. / Juang, C. H.; Lee, Der-Her; Sheu, C.

In: Journal of Geotechnical Engineering, Vol. 118, No. 3, 01.01.1992, p. 475-494.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Mapping slope failure potential using fuzzy sets

AU - Juang, C. H.

AU - Lee, Der-Her

AU - Sheu, C.

PY - 1992/1/1

Y1 - 1992/1/1

N2 - This paper documents a low-cost, qualitative evaluation scheme using a fuzzy set analysis for mapping slope failure potential (SFP). Four categories of factors affecting stability of natural slopes, i.e., geology, topography, meteorology, and environment, are considered. Each category involves two to five factors, and a total of 13 factors is used in the proposed evaluation scheme. A set of evaluation criteria was established for each adopted factor. In the proposed evaluation scheme, slope failure potential is assessed and recorded in linguistic terms based on the established criteria. The linguistic data or information obtained from the assessments is represented and processed using fuzzy sets. In this study, the analysis or computation involving fuzzy sets was performed using the Monte Carlo simulation technique. An SFP index to measure the slope failure potential is defined. Based on the computed SFP values for a large number of subareas or cells selected for an area studied, an SFP map can be developed. An example application is presented to demonstrate the method. The SFP map developed in the case study seems to be able to correctly predict the slope failure potential of the area studied.

AB - This paper documents a low-cost, qualitative evaluation scheme using a fuzzy set analysis for mapping slope failure potential (SFP). Four categories of factors affecting stability of natural slopes, i.e., geology, topography, meteorology, and environment, are considered. Each category involves two to five factors, and a total of 13 factors is used in the proposed evaluation scheme. A set of evaluation criteria was established for each adopted factor. In the proposed evaluation scheme, slope failure potential is assessed and recorded in linguistic terms based on the established criteria. The linguistic data or information obtained from the assessments is represented and processed using fuzzy sets. In this study, the analysis or computation involving fuzzy sets was performed using the Monte Carlo simulation technique. An SFP index to measure the slope failure potential is defined. Based on the computed SFP values for a large number of subareas or cells selected for an area studied, an SFP map can be developed. An example application is presented to demonstrate the method. The SFP map developed in the case study seems to be able to correctly predict the slope failure potential of the area studied.

UR - http://www.scopus.com/inward/record.url?scp=0026614454&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026614454&partnerID=8YFLogxK

U2 - 10.1061/(ASCE)0733-9410(1992)118:3(475)

DO - 10.1061/(ASCE)0733-9410(1992)118:3(475)

M3 - Article

VL - 118

SP - 475

EP - 494

JO - Journal of Geotechnical and Geoenvironmental Engineering - ASCE

JF - Journal of Geotechnical and Geoenvironmental Engineering - ASCE

SN - 1090-0241

IS - 3

ER -