International Journal
Year of publication
2019
Volume
139
Pagination
1 - 12
DOI
"https://doi.org/10.1016/j.cie.2019.03.026"
Journal
"Computers & Industrial Engineering"
ISSN Number
"0360-8352"
URL
"http://www.sciencedirect.com/science/article/pii/S0360835219301627"
Dinçer, H., et al. «"Analysis Of Balanced Scorecard-Based Servqual Criteria Based On Hesitant Decision-Making Approaches"». "Computers & Industrial Engineering", 2019, pp. 1 - 12.
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International Journal
Year of publication
2019
Volume
115
Pagination
152-179
DOI
https://doi.org/10.1016/j.eswa.2018.07.072
Journal
"Expert Systems with Applications"
ISSN Number
"0957-4174"
URL
https://www.sciencedirect.com/science/article/pii/S0957417418305001
Dinçer, H., et al. «"Balanced Scorecard-Based Analysis About European Energy Investment Policies: A Hybrid Hesitant Fuzzy Decision-Making Approach With Quality Function Deployment"». "Expert Systems With Applications", 2019, pp. 152-179.
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Q1
Índice de impacto
3.768
International Journal
Year of publication
2012
Volume
20
Pagination
109 - 119
Aplicación
http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=1&SID=W1VWl91lJnEVGwQ14bP&page=1&doc=2
Journal
IEEE Transactions on Fuzzy Systems
Number
1
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6030926
Rodríguez, R. M., et al. «Hesitant Fuzzy Linguistic Term Sets For Decision Making». Ieee Transactions On Fuzzy Systems, 1, 2012, pp. 109 - 119.
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International Journal
Year of publication
2016
Volume
29
Pagination
89-97
DOI
http://dx.doi.org/10.1016/j.inffus.2015.11.004
Journal
Information Fusion
ISSN Number
1566-2535
URL
http://www.sciencedirect.com/science/article/pii/S1566253515001025
Rodríguez, R. M., et al. «A Position And Perspective Analysis Of Hesitant Fuzzy Sets On Information Fusion In Decision Making. Towards High Quality Progress». Information Fusion, 2016, pp. 89-97.
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Q1
Índice de impacto
5.667
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 <em>The 2-tuple Linguistic Model: Computing with Words in Decision Making </em>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.
Book
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Portada (Solo para Libro y Tesis)