The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets
Open accessAbstract
The complexity and impact of many real world decision making problems lead to the necessity of considering multiple points of view, building group decision making problems in which a group of experts provide their preferences to achieve a solution. In such complex problems uncertainty is often present and although the use of linguistic information has provided successful results in managing it, these are sometimes limited because the linguistic models use single-valued and predefined terms that restrict the richness of freely eliciting the preferences of the experts. Usually, experts may doubt between different linguistic terms and require richer expressions to express their knowledge more accurately. However, linguistic group decision making approaches do not provide any model to make more flexible the elicitation of linguistic preferences in such hesitant situations. In this paper is proposed a new linguistic group decision model that facilitates the elicitation of flexible and rich linguistic expressions, in particular through the use of comparative linguistic expressions, close to human beings' cognitive models for expressing linguistic preferences based on hesitant fuzzy linguistic term sets and context-free grammars. This model defines the group decision process and the necessary operators and tools to manage such linguistic expressions.
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Cites
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The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—I
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A 2-tuple fuzzy linguistic representation model for computing with words
Martinez, L., & Herrera, F. (2000) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.890332 · Cited by 2,662
Self-citationHesitant 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-citationTorra, V. (2010) · International Journal of Intelligent Systems · doi:10.1002/int.20418 · Cited by 2,322
Fuzzy Preference Modelling and Multicriteria Decision Support
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Linguistic decision analysis: steps for solving decision problems under linguistic information
Herrera, F., & Herrera-Viedma, E. (2000) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(99)00024-x · Cited by 1,562
Self-citationDecision-making with a fuzzy preference relation
Orlovsky, S. (1978) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(78)90001-5 · Cited by 1,246
Cited by
Wang, 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
Yavuz, M., Oztaysi, B., Cevik Onar, S., & Kahraman, C. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.11.010 · Cited by 179
Metadata
- Authors
- Rodríguez, R. M., Martı́nez, L., & Herrera, F.
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 241
- Pages
- 28-42
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2097423137
- Cited by
- 567
- References
- 32
- FWCI
- 63.92
- Type
- journal article
- Language
- en
- Open access
- green
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