Standard
The Fuzzy WOD Model with application to biogas plant location. / Franco, Camilo; Bojesen, Mikkel; Hougaard, Jens Leth; Nielsen, Kurt.
International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain, September 11th-13th, 2013 Proceedings. ed. / Álvaro Herrero; Bruno Baruque; Fanny Klett; Ajith Abraham; Václav Snášel; André C.P.L.F. de Carvalho; Pablo García Bringas; Ivan Zelinka; Héctor Quintián; Emilio Corchado. Vol. 239 Springer, 2014. p. 141-150 (Advances in Intelligent Systems and Computing; No. 239).
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Harvard
Franco, C, Bojesen, M
, Hougaard, JL & Nielsen, K 2014,
The Fuzzy WOD Model with application to biogas plant location. in Á Herrero, B Baruque, F Klett, A Abraham, V Snášel, ACPLF de Carvalho, PG Bringas, I Zelinka, H Quintián & E Corchado (eds),
International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain, September 11th-13th, 2013 Proceedings. vol. 239, Springer, Advances in Intelligent Systems and Computing, no. 239, pp. 141-150, International Joint Conference SOCO’13-CISIS’13-ICEUTE’13, Salamanca, Spain,
11/09/2013.
https://doi.org/10.1007/978-3-319-01854-6_15APA
Franco, C., Bojesen, M.
, Hougaard, J. L., & Nielsen, K. (2014).
The Fuzzy WOD Model with application to biogas plant location. In Á. Herrero, B. Baruque, F. Klett, A. Abraham, V. Snášel, A. C. P. L. F. de Carvalho, P. G. Bringas, I. Zelinka, H. Quintián, & E. Corchado (Eds.),
International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain, September 11th-13th, 2013 Proceedings (Vol. 239, pp. 141-150). Springer. Advances in Intelligent Systems and Computing No. 239
https://doi.org/10.1007/978-3-319-01854-6_15Vancouver
Franco C, Bojesen M
, Hougaard JL, Nielsen K.
The Fuzzy WOD Model with application to biogas plant location. In Herrero Á, Baruque B, Klett F, Abraham A, Snášel V, de Carvalho ACPLF, Bringas PG, Zelinka I, Quintián H, Corchado E, editors, International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain, September 11th-13th, 2013 Proceedings. Vol. 239. Springer. 2014. p. 141-150. (Advances in Intelligent Systems and Computing; No. 239).
https://doi.org/10.1007/978-3-319-01854-6_15Author
Franco, Camilo ; Bojesen, Mikkel ; Hougaard, Jens Leth ; Nielsen, Kurt. / The Fuzzy WOD Model with application to biogas plant location. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain, September 11th-13th, 2013 Proceedings. editor / Álvaro Herrero ; Bruno Baruque ; Fanny Klett ; Ajith Abraham ; Václav Snášel ; André C.P.L.F. de Carvalho ; Pablo García Bringas ; Ivan Zelinka ; Héctor Quintián ; Emilio Corchado. Vol. 239 Springer, 2014. pp. 141-150 (Advances in Intelligent Systems and Computing; No. 239).
Bibtex
@inbook{3f6b5857645b4f879dbf99c4cf319d90,
title = "The Fuzzy WOD Model with application to biogas plant location",
abstract = "The decision of choosing a facility location among possible alternatives can be understood as a multi-criteria problem where the solution depends on the available knowledge and the means of exploiting it. In this sense, knowledge can take various forms, where the imprecise nature of information can be expressed by degrees of intensity in which the alternatives satisfy the given criteria. Hence, such degrees can be gradually expressed either by unique values or by intervals, in order to fully represent the characteristics of each alternative. This paper examines the selection of biogas plant location based on a decision support model capable of handling and exploiting both interval and non-interval forms of knowledge. Such model is built on a fuzzy approach to weighted overlap dominance, where an interactive procedure is developed allowing the individuals to explore and put into perspective how their different attitudes affect the final ranking of alternatives.",
author = "Camilo Franco and Mikkel Bojesen and Hougaard, {Jens Leth} and Kurt Nielsen",
year = "2014",
doi = "10.1007/978-3-319-01854-6_15",
language = "English",
isbn = "978-3-319-01853-9",
volume = "239",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
number = "239",
pages = "141--150",
editor = "{\'A}lvaro Herrero and Bruno Baruque and Fanny Klett and Ajith Abraham and V{\'a}clav Sn{\'a}{\v s}el and {de Carvalho}, {Andr{\'e} C.P.L.F.} and Bringas, {Pablo Garc{\'i}a} and Ivan Zelinka and H{\'e}ctor Quinti{\'a}n and Emilio Corchado",
booktitle = "International Joint Conference SOCO{\textquoteright}13-CISIS{\textquoteright}13-ICEUTE{\textquoteright}13",
address = "Switzerland",
note = "International Joint Conference SOCO{\textquoteright}13-CISIS{\textquoteright}13-ICEUTE{\textquoteright}13 ; Conference date: 11-09-2013 Through 13-09-2013",
}
RIS
TY - CHAP
T1 - The Fuzzy WOD Model with application to biogas plant location
AU - Franco, Camilo
AU - Bojesen, Mikkel
AU - Hougaard, Jens Leth
AU - Nielsen, Kurt
PY - 2014
Y1 - 2014
N2 - The decision of choosing a facility location among possible alternatives can be understood as a multi-criteria problem where the solution depends on the available knowledge and the means of exploiting it. In this sense, knowledge can take various forms, where the imprecise nature of information can be expressed by degrees of intensity in which the alternatives satisfy the given criteria. Hence, such degrees can be gradually expressed either by unique values or by intervals, in order to fully represent the characteristics of each alternative. This paper examines the selection of biogas plant location based on a decision support model capable of handling and exploiting both interval and non-interval forms of knowledge. Such model is built on a fuzzy approach to weighted overlap dominance, where an interactive procedure is developed allowing the individuals to explore and put into perspective how their different attitudes affect the final ranking of alternatives.
AB - The decision of choosing a facility location among possible alternatives can be understood as a multi-criteria problem where the solution depends on the available knowledge and the means of exploiting it. In this sense, knowledge can take various forms, where the imprecise nature of information can be expressed by degrees of intensity in which the alternatives satisfy the given criteria. Hence, such degrees can be gradually expressed either by unique values or by intervals, in order to fully represent the characteristics of each alternative. This paper examines the selection of biogas plant location based on a decision support model capable of handling and exploiting both interval and non-interval forms of knowledge. Such model is built on a fuzzy approach to weighted overlap dominance, where an interactive procedure is developed allowing the individuals to explore and put into perspective how their different attitudes affect the final ranking of alternatives.
U2 - 10.1007/978-3-319-01854-6_15
DO - 10.1007/978-3-319-01854-6_15
M3 - Book chapter
SN - 978-3-319-01853-9
VL - 239
T3 - Advances in Intelligent Systems and Computing
SP - 141
EP - 150
BT - International Joint Conference SOCO’13-CISIS’13-ICEUTE’13
A2 - Herrero, Álvaro
A2 - Baruque, Bruno
A2 - Klett, Fanny
A2 - Abraham, Ajith
A2 - Snášel, Václav
A2 - de Carvalho, André C.P.L.F.
A2 - Bringas, Pablo García
A2 - Zelinka, Ivan
A2 - Quintián, Héctor
A2 - Corchado, Emilio
PB - Springer
T2 - International Joint Conference SOCO’13-CISIS’13-ICEUTE’13
Y2 - 11 September 2013 through 13 September 2013
ER -
