Dealing with Heterogeneous Information in Engineering Evaluation Processes
International Journal
Year of publication
2007
Publisher
Elsevier
Volume
177
Pagination
1533-1542
Journal
Information Sciences
Number
7
URL
http://www.sciencedirect.com/science/article/pii/S0020025506001976
Martínez, L., et al. «Dealing With Heterogeneous Information In Engineering Evaluation Processes». Information Sciences, 7, Elsevier, 2007, pp. 1533-1542.
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Modelo lingüístico difuso para problemas de evaluación con información heterogénea considerando la posible dependencia entre criterios. Aplicación a la evaluación del desempeño integral.
Year of publication
2016
Date Published
Enero, 2016
City
Jaén
Martínez, F. J., et al. Modelo Lingüístico Difuso Para Problemas De Evaluación Con Información Heterogénea Considerando La Posible Dependencia Entre Criterios. Aplicación A La Evaluación Del Desempeño Integral. Enero, 2016. 2016.
PhD Thesis
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The 2-tuple Linguistic Model. Computing with Words in Decision Making
Resumen
This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results. The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model. Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.
Year of Publicaion
2015
Edición
1
Number of Pages
162
Publisher
Springer International Publishing
ISBN
978-3-319-24714-4
ISBN Number
978-3-319-24712-0
URL
http://www.springer.com/gp/book/9783319247120$\#$aboutBook
DOI
10.1007/978-3-319-24714-4
Martínez, L., et al. The 2-Tuple Linguistic Model. Computing With Words In Decision Making. 1 ed., Springer International Publishing, 2015, p. 162.
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