SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

NEURO-FUZZY SUPPORT TOOL FOR ECOSYSTEMS MONITORING

Marius Pislaru, Ionut-Viorel Herghiligiu, Raluca-Petronela Lazarescu, Lidia-Elena Alexa

First published: 2017-11-20https://doi.org/10.5593/sgem2017h/43/s19.056View metrics

Abstract

An ecosystem cannot be fully and effectively described simply by simple mathematical rules. Sustainability is difficult to define or measure because it is inherently vague and complex. This paper presents a neuro-fuzzy model, which uses data from different parameters to monitor and assess a certain ecosystem. If classic mathematical methods cannot provide solutions of uncertain data and treating vague situations, a possible solution to represent these conditions may be the use of neuro-fuzzy approach. Therefore, a neuro-fuzzy model has been developed that has used the principles of environmental integrity and neuro-fuzzy reasoning as basic indicators to monitor an ecosystem and ensure sustainability measures. The method can be used as a potential tool to make responsible decisions to assess or to anticipate the impact of their actions on the environment.

Publication Impact Profile

Publication details

Title
NEURO-FUZZY SUPPORT TOOL FOR ECOSYSTEMS MONITORING
Authors
Marius Pislaru, Ionut-Viorel Herghiligiu, Raluca-Petronela Lazarescu, Lidia-Elena Alexa
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2017
Pages
445-452
SWS Citekey
Pislaru201719445452
ISSN
1314-2704
ISBN
978-619-7408-28-7
Language
en
Publication type
Conference Paper
Keywords
References9
  1. Jain R., Urban L.V., Stacey G.S., Balbach H., Environmental Assessment, 2nd Edition, Digital Engineering Library, McGraw-Hill,2004.

  2. Phillis Y.A., Andriantiatsaholiniaina L.A., Sustainability: an ill-defined concept and its assessment using fuzzy logic, Ecological Economics, 37,pp. 435-456, 2001.

  3. Spangenberg J.H., Bonniot O., Sustainability Indicators—A Compass on the Road towards Sustainability, OECD, Paris.,1998.

  4. Pislaru M., Trandabat A., Avasilcai S., Neuro-fuzzy model for environmental impact assessment, Environmental Engineering and Management Journal, Vol.10, No. 3, pp. 381-386, 2010.

  5. https://www.mathworks.com/support/?s_tid=gn_supp

  6. Engelbrecht A.P., Computational Intelligence – second edition John Wiley & Sons Ltd, West Sussex PO19 8SQ, England, 2007.

  7. Kelemen A., Kozma R., Liang Y., Neuro-Fuzzy classification for the job assignment problem, On line at: http://cnd.memphis.edu/paper/kelemen02.pdf, 2002.

  8. Celikyilmaz A.,Türksen I. B., Modeling Uncertainty with Fuzzy Logic, Springer-Verlag Berlin Heidelberg, 2009.

  9. Sivanandam S.N., Sumathi S., Deepa S.N., Introduction to Fuzzy Logic using MATLAB SpringerVerlag, Berlin Heidelberg, 2007.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list

Connected events

SGEM WORLD SCIENCE Conferences

The EPS Library connects published research with the scientific events where it was presented, reviewed and prepared for long-term scholarly discovery.

International Scientific GeoConference SGEM
SGEM GeoConference

International Scientific GeoConference SGEM

Explore the main SGEM WORLD SCIENCE forum for Earth and Planetary Sciences, where research becomes conference presentation, proceedings publication and long-term library visibility.

Visit sgem.org
SGEM Vienna Green
SGEM Vienna Green

Green Sciences and Sustainability

Explore SGEM Vienna Green — connecting sustainability, environmental science, climate research, green technologies and interdisciplinary solutions for the future.

Visit sgemviennagreen.org

International Indexing & Global Visibility of Our Scientific Publications

Scopus

Scopus Scientific Database

Compendex

Engineering abstracts
& indexing

Clarivate

Scientific Databases

EBSCO

EBSCO
Science Services Database

OpenAIRE

Linked research discovery
& metadata

ProQuest

Scientific Databases
Part of Clarivate

Crossref

We are a voting CrossRef member - the official DOI provider

ScienceOpen

Research discovery
& metadata

HAL

Multidisciplinary archive
& metadata

Petroleum Abstracts

Scientific Database
Part of Clarivate

Google Scholar

Google Scholar
Scholarly Search

RSCI

Russian Science Citation Index
Part of Web of Science

OpenAlex

Open research index
& metadata

Mendeley

Scientific Databases
Part of Elsevier

GeoRef

GeoRef — AGI
Geoscience Bibliographic Database