The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Computing with Words in Decision support Systems: An overview on Models and Applications
Open accessAbstract
Decision making is inherent to mankind, as human beings daily face situations in which they should choose among different alternatives by means of reasoning and mental processes.Many of these decision problems are under uncertain environments with vague and imprecise information.This type of information is usually modelled by linguistic information because of the common use of language by the experts involved in the given decision situations, originating linguistic decision making.The use of linguistic information in decision making demands processes of Computing with Words to solve the related decision problems.Different methodologies and approaches have been proposed to accomplish such processes in an accurate and interpretable way.The good performance of linguistic computing dealing with uncertainty has caused a spread use of it in different types of decision based applications.This paper overviews the more significant and extended linguistic computing models due to its key role in linguistic decision making and a wide range of the most recent applications of linguistic decision support models.
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Cites
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A 2-tuple fuzzy linguistic representation model for computing with words
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Self-citationThe Concept of a Linguistic Variable and Its Application to Approximate Reasoning—II
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90046-8 · Cited by 2,555
Cited by
Hesitant Fuzzy Linguistic Term Sets for Decision Making
Rodriguez, R. M., Martinez, L., & Herrera, F. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2011.2170076 · Cited by 2,328
Self-citationRodríguez, R. M., Martı́nez, L., & Herrera, F. (2013) · Information Sciences · doi:10.1016/j.ins.2013.04.006 · Cited by 567
Self-citationHesitant Fuzzy Sets: State of the Art and Future Directions
Rodríguez, R. M., Martínez, L., Torra, V., Xu, Z. S., & Herrera, F. (2014) · International Journal of Intelligent Systems · doi:10.1002/int.21654 · Cited by 461
Self-citationWang, J.-Q., Wu, J.-T., Wang, J., Zhang, H.-Y., & Chen, X.-H. (2014) · Information Sciences · doi:10.1016/j.ins.2014.07.034 · Cited by 377
Ding, R.-X., Palomares, I., Wang, X., Yang, G.-R., Liu, B., Dong, Y., Herrera-Viedma, E., & Herrera, F. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.01.006 · Cited by 301
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Metadata
- Authors
- Martínez, L., Ruan, D., & Herrera, F.
- Venue
- International Journal of Computational Intelligence Systems
- Published
- 2010-10
- Volume
- 3
- Issue
- 4
- Pages
- 382-395
- ISSN
- 1875-6883 (ISSN-L)
- 1875-6891
- OpenAlex
- W2143896541
- Cited by
- 287
- References
- 84
- FWCI
- 30.96
- Type
- journal article
- Language
- en
- Open access
- gold
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