English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/161518
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Influence analysis in consensus search - A multi criteria group decision making approach in environmental management

AuthorsRomero-Gelvez, Jorge Ivan; García-Melón, Mónica CSIC ORCID
KeywordsStakeholder analysis
Group decision-making
Issue Date2016
PublisherWorld Scientific Publishing
CitationInternational Journal of Information Technology and Decision Making 15(4): 791-813 (2016)
AbstractThe environmental decision problems often are divisive, even in a technical realm, decision makers with strong personalities influence outcomes. The purpose of this study is to define and quantify the factors that affect the conservation objectives of a national natural park located in Colombia, South America adding the judgments of six decision makers with different knowledge (every decision maker is also a stakeholder representative). This paper uses a hybrid multiple criteria group decision-making model (MCDM), combining the social network analysis (SNA), analytic hierarchy process (AHP) and similarity measures to solve the consensus and anchoring problem among environmental decision makers. The SNA technique is used to build an influential network relation map among decision makers and to obtain their weights for applying a weighted AHP. Then, the final decision matrices for every decision maker are compared between them in order to identify the consensus level of the problem.
Publisher version (URL)https://doi.org/10.1142/S0219622016400034
Identifiersdoi: 10.1142/S0219622016400034
issn: 0219-6220
e-issn: 1793-6845
Appears in Collections:(INGENIO) Artículos
Files in This Item:
File Description SizeFormat 
influ-gement.pdf1,08 MBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.