RP3CA: An expert system applied in stormwater management plan for construction sites in Malaysia

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The stormwater management in construction site is an important, complicate and time-consuming task that relates to huge amount of information, data, domain law, and expert knowledge and experience in terms of environmental protection, soil erosion, and receiving water protection. This paper presents an expert system "RP3CA" that is used to mitigate stormwater pollution during construction activities. A most important function of the RP3CA is its user interface, which utilizes Geographic Information System functions as a supportive component to display spatial maps. Decision tables and trees are used to acquire expert knowledge and experience. Certainty Factor is used for measuring the expert belief or disbelief of the system rules. Opinion integration of multiple experts is obtained by application of Expert Choice software where various alternatives are available. Assessment suggestions and results are derived utilizing a forward chaining inference mechanism. Unit testing, integrated testing, system testing, two test cases, comparison of system results, internal experts, and external experts, reviewers feedback by system application, and validation of system reasoning are used to demonstrate the proposed RP3CA.

Original languageEnglish
Pages (from-to)3692-3701
Number of pages10
JournalExpert Systems with Applications
Volume39
Issue number3
DOIs
Publication statusPublished - 15 Feb 2012

Fingerprint

Expert systems
Testing
Decision tables
Decision trees
Environmental protection
Geographic information systems
User interfaces
Erosion
Pollution
Feedback
Soils
Water

Keywords

  • Construction site
  • Expert system
  • Geographic Information System
  • Stormwater management plan

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering(all)

Cite this

@article{b9476eaa405e4fccafe23d8148567a17,
title = "RP3CA: An expert system applied in stormwater management plan for construction sites in Malaysia",
abstract = "The stormwater management in construction site is an important, complicate and time-consuming task that relates to huge amount of information, data, domain law, and expert knowledge and experience in terms of environmental protection, soil erosion, and receiving water protection. This paper presents an expert system {"}RP3CA{"} that is used to mitigate stormwater pollution during construction activities. A most important function of the RP3CA is its user interface, which utilizes Geographic Information System functions as a supportive component to display spatial maps. Decision tables and trees are used to acquire expert knowledge and experience. Certainty Factor is used for measuring the expert belief or disbelief of the system rules. Opinion integration of multiple experts is obtained by application of Expert Choice software where various alternatives are available. Assessment suggestions and results are derived utilizing a forward chaining inference mechanism. Unit testing, integrated testing, system testing, two test cases, comparison of system results, internal experts, and external experts, reviewers feedback by system application, and validation of system reasoning are used to demonstrate the proposed RP3CA.",
keywords = "Construction site, Expert system, Geographic Information System, Stormwater management plan",
author = "Leila Ooshaksaraie and {Ahmad Basri}, {Noor Ezlin} and {Abu Bakar}, Azuraliza and {Abdul Maulud}, {Khairul Nizam}",
year = "2012",
month = "2",
day = "15",
doi = "10.1016/j.eswa.2011.09.064",
language = "English",
volume = "39",
pages = "3692--3701",
journal = "Expert Systems with Applications",
issn = "0957-4174",
publisher = "Elsevier Limited",
number = "3",

}

TY - JOUR

T1 - RP3CA

T2 - An expert system applied in stormwater management plan for construction sites in Malaysia

AU - Ooshaksaraie, Leila

AU - Ahmad Basri, Noor Ezlin

AU - Abu Bakar, Azuraliza

AU - Abdul Maulud, Khairul Nizam

PY - 2012/2/15

Y1 - 2012/2/15

N2 - The stormwater management in construction site is an important, complicate and time-consuming task that relates to huge amount of information, data, domain law, and expert knowledge and experience in terms of environmental protection, soil erosion, and receiving water protection. This paper presents an expert system "RP3CA" that is used to mitigate stormwater pollution during construction activities. A most important function of the RP3CA is its user interface, which utilizes Geographic Information System functions as a supportive component to display spatial maps. Decision tables and trees are used to acquire expert knowledge and experience. Certainty Factor is used for measuring the expert belief or disbelief of the system rules. Opinion integration of multiple experts is obtained by application of Expert Choice software where various alternatives are available. Assessment suggestions and results are derived utilizing a forward chaining inference mechanism. Unit testing, integrated testing, system testing, two test cases, comparison of system results, internal experts, and external experts, reviewers feedback by system application, and validation of system reasoning are used to demonstrate the proposed RP3CA.

AB - The stormwater management in construction site is an important, complicate and time-consuming task that relates to huge amount of information, data, domain law, and expert knowledge and experience in terms of environmental protection, soil erosion, and receiving water protection. This paper presents an expert system "RP3CA" that is used to mitigate stormwater pollution during construction activities. A most important function of the RP3CA is its user interface, which utilizes Geographic Information System functions as a supportive component to display spatial maps. Decision tables and trees are used to acquire expert knowledge and experience. Certainty Factor is used for measuring the expert belief or disbelief of the system rules. Opinion integration of multiple experts is obtained by application of Expert Choice software where various alternatives are available. Assessment suggestions and results are derived utilizing a forward chaining inference mechanism. Unit testing, integrated testing, system testing, two test cases, comparison of system results, internal experts, and external experts, reviewers feedback by system application, and validation of system reasoning are used to demonstrate the proposed RP3CA.

KW - Construction site

KW - Expert system

KW - Geographic Information System

KW - Stormwater management plan

UR - http://www.scopus.com/inward/record.url?scp=80255133197&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80255133197&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2011.09.064

DO - 10.1016/j.eswa.2011.09.064

M3 - Article

AN - SCOPUS:80255133197

VL - 39

SP - 3692

EP - 3701

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 3

ER -