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Cited by 494

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

A new version of 2-tuple fuzzy linguistic representation model for computing with words

Jin-Hsien Wang, Jongyun Hao·2006·IEEE Transactions on Fuzzy Systems
DOI 10.1109/tfuzz.2006.876337
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Abstract

In this paper, we provide a new (proportional) 2-tuple fuzzy linguistic representation model for computing with words (CW), which is based on the concept of "symbolic proportion." This concept motivates us to represent the linguistic information by means of 2-tuples, which are composed by two proportional linguistic terms. For clarity and generality, we first study proportional 2-tuples under ordinal contexts. Then, under linguistic contexts and based on canonical characteristic values (CCVs) of linguistic labels, we define many aggregation operators to handle proportional 2-tuple linguistic information in a computational stage for CW without any loss of information. Our approach for this proportional 2-tuple fuzzy linguistic representation model deals with linguistic labels, which do not have to be symmetrically distributed around a medium label and without the traditional requirement of having "equal distance" between them. Moreover, this new model not only provides a space to allow a "continuous" interpolation of a sequence of ordered linguistic labels, but also provides an opportunity to describe the initial linguistic information by members of a "continuous" linguistic scale domain which does not necessarily require the ordered linguistic terms of a linguistic variable being equidistant. Meanwhile, under the assumption of equally informative (which is defined by a condition based on the concept of CCV), we show that our model reduces to Herrera and Mart/spl inodot//spl acute/nez's (translational) 2-tuple fuzzy linguistic representation model.

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Metadata

Authors
Wang, J.-H., & Hao, J.
Venue
IEEE Transactions on Fuzzy Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2006-06
Volume
14
Issue
3
Pages
435-445
ISSN
1063-6706 (ISSN-L)
DOI
10.1109/tfuzz.2006.876337
OpenAlex
W2113181660
Cited by
494
References
23
FWCI
14.87
Type
journal article
Language
en
Open access
closed

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