Searching for An Intelligent Decision Support System For Management Of Petroleum Contaminated Sites information? Find all needed info by using official links provided below.
https://www.sciencedirect.com/science/article/pii/S0957417400000634
Apr 01, 2001 · A rule-based expert system for the management of petroleum contaminated sites has been developed. In the development process, a variety of methodologies and tools are employed and integrated, e.g. IMT for knowledge analysis, decision trees and object-oriented methodology for knowledge representation, and fuzzy set theory for uncertainty modelling.Cited by: 55
https://www.researchgate.net/publication/223780783_Intelligent_decision_support_system_for_management_of_petroleum-contaminated_sites
This study presents an expert system (ES) for the management of petroleum contaminated sites in which a variety of artificial intelligence (AI) techniques were used to construct a support tool for ...
https://link.springer.com/article/10.1007/s11270-014-2035-5
Jun 29, 2014 · We have developed a decision support system that prompts the user for site and contaminant characteristics from petroleum extraction and transportation processes and filters out those technologies that are most adequate for site remediation from the categories of remedial methods in its database. The computerized rule-based structure facilitates the evaluation and selection of the most ...Cited by: 6
https://www.deepdyve.com/lp/elsevier/an-intelligent-decision-support-system-for-management-of-petroleum-gzN6EVbrD5
Apr 01, 2001 · Read "An intelligent decision support system for management of petroleum-contaminated sites, Expert Systems with Applications" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://www.researchgate.net/publication/226409641_Development_of_an_Expert_System_for_the_Remediation_of_Petroleum-Contaminated_Sites
Development of an Expert System for the Remediation of Petroleum-Contaminated Sites Article in Environmental Modeling and Assessment 8(4):323-334 · January 2003 …
https://www.academia.edu/14782167/An_intelligent_decision_support_system_for_management_of_petroleum-contaminated_sites
An intelligent decision support system for management of petroleum-contaminated sites
https://www.sciencedirect.com/science/article/pii/S0957417405001740
The system can provide decision support to users in selecting suitable remediation techniques for petroleum-contaminated sites. Geng et al. (2001) presented an expert system for management of petroleum-contaminated sites in which permeability, types of soil media, and states of petroleum wastes are considered as fuzzy numbers.Cited by: 39
https://dl.acm.org/citation.cfm?id=1707658
Selection of remediation technologies for petroleum-contaminated sites is difficult given the large number of technologies available and inherent uncertainties involved in the selection process. In this paper, we explore the use of an inexact algorithm for probability reasoning for dealing with the uncertainties involved in …Cited by: 39
http://energyinformaticlab.ca/projects.html
Construction of an intelligent system for diagnosis of anaerobic wastewater treatment plants; Implementation of a decision support system for management of petroleum contaminated sites; Implementation of a decision support system for municipal waste management; Construction of application ontologies for petroleum selection and processing domains
https://link.springer.com/protocol/10.1007/978-1-60761-439-5_13
Oct 25, 2009 · Bardos P., Lewis A., Nortcliff S., Mariotti C., Marot F., and Sullivan T. (2003) Review of decision support tools for contaminated land management and their use in Europe. A report from the Contaminated Land Rehabilitation Network for Environmental Technologies (CLARINET) by the Decision Support Tools Working Group.Author: Elizabeth E Diplock, David P Mardlin, Kenneth S Killham, Graeme I Paton
How to find An Intelligent Decision Support System For Management Of Petroleum Contaminated Sites information?
Follow the instuctions below:
- Choose an official link provided above.
- Click on it.
- Find company email address & contact them via email
- Find company phone & make a call.
- Find company address & visit their office.
