Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method

A great deal of uncertain information which is difficult to quantify is taken into account by farmers and experts in the enterprise when making decisions. We are interested in the problems of the implementation of a rabbit-breeding farm. One of the first decisions to be taken refers to the design or...

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Main Authors: Eva Armero, M. Socorro García-Cascales, M. Dolores Gómez-López, M. Teresa Lamata
Format: Article
Language:English
Published: Asia University 2011-01-01
Series:Advances in Decision Sciences
Online Access:http://dx.doi.org/10.1155/2011/937092
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spelling doaj-c39366410fc34c199942c8410720db5c2020-11-24T21:52:00ZengAsia UniversityAdvances in Decision Sciences2090-33592090-33672011-01-01201110.1155/2011/937092937092Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS MethodEva Armero0M. Socorro García-Cascales1M. Dolores Gómez-López2M. Teresa Lamata3Grupo de Producción Animal, Universidad de Politécnica de Cartagena, 30204 Murcia, SpainDepartamento de Electrónica Tecnología de Computadoras y Proyectos, Universidad de Politécnica de Cartagena, 30202 Murcia, SpainGrupo de Gestión, Aprovechamiento y Recuperación de Suelos y Aguas (GARSA), Universidad de Politécnica de Cartagena, 30204 Murcia, SpainDepartamento de Ciencias de la Computación e Inteligencia Artificial, CITIC Universidad de Granada, 18071 Granada, SpainA great deal of uncertain information which is difficult to quantify is taken into account by farmers and experts in the enterprise when making decisions. We are interested in the problems of the implementation of a rabbit-breeding farm. One of the first decisions to be taken refers to the design or type of structure for housing the animals, which is determined by the level of environmental control sought to be maintained in its interior. A farmer was consulted, and his answers were incorporated into the analysis, by means of the fuzzy TOPSIS methodology. The main purpose of this paper is to study the problem by means of the fuzzy TOPSIS method as multicriteria decision making, when the information was given in linguistic terms.http://dx.doi.org/10.1155/2011/937092
collection DOAJ
language English
format Article
sources DOAJ
author Eva Armero
M. Socorro García-Cascales
M. Dolores Gómez-López
M. Teresa Lamata
spellingShingle Eva Armero
M. Socorro García-Cascales
M. Dolores Gómez-López
M. Teresa Lamata
Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method
Advances in Decision Sciences
author_facet Eva Armero
M. Socorro García-Cascales
M. Dolores Gómez-López
M. Teresa Lamata
author_sort Eva Armero
title Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method
title_short Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method
title_full Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method
title_fullStr Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method
title_full_unstemmed Decision Making in Uncertain Rural Scenarios by means of Fuzzy TOPSIS Method
title_sort decision making in uncertain rural scenarios by means of fuzzy topsis method
publisher Asia University
series Advances in Decision Sciences
issn 2090-3359
2090-3367
publishDate 2011-01-01
description A great deal of uncertain information which is difficult to quantify is taken into account by farmers and experts in the enterprise when making decisions. We are interested in the problems of the implementation of a rabbit-breeding farm. One of the first decisions to be taken refers to the design or type of structure for housing the animals, which is determined by the level of environmental control sought to be maintained in its interior. A farmer was consulted, and his answers were incorporated into the analysis, by means of the fuzzy TOPSIS methodology. The main purpose of this paper is to study the problem by means of the fuzzy TOPSIS method as multicriteria decision making, when the information was given in linguistic terms.
url http://dx.doi.org/10.1155/2011/937092
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