A gentle introduction and survey on Computing with Words (CWW) methodologies

@article{Gupta2022AGI,
  title={A gentle introduction and survey on Computing with Words (CWW) methodologies},
  author={Prashant K. Gupta and Javier Andreu-Perez},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.06532}
}

A Linguistic Metric for Consensus Reaching Processes based on ELICIT Comprehensive Minimum Cost Consensus Models

A metric is introduced to evaluate the performance of LiCRPs that takes into account the resulting consensus degree and the cost of modifying DMs’ initial opinions, based on a linguistic Comprehensive Minimum Cost Consensus model based on ELICIT information.

Enhanced type-2 Wang-Mendel Approach

References

SHOWING 1-10 OF 71 REFERENCES

Towards an extension of the 2-tuple linguistic model to deal with unbalanced linguistic term sets

An extension to the package jFuzzyLogic and to the corresponding script language FCL is added, which supports both 2-tuple models: Herrera and Martinez' and the authors', and two aggregation algorithms are presented: the arithmetic means and the addition.

Towards a general type-2 fuzzy logic approach for Computing With Words using linear adjectives

This paper points out that there exists a hierarchical analogy between the parts of speech and a linguistic variable in a fuzzy system and proposes to model the linguistic uncertainty conveyed by qualifiers as second-order word uncertainty using a general type-2 fuzzy set based approach where the qualifiers can be exploited in linear terms.

Perceptual Reasoning for Perceptual Computing

A new kind of rule-based CWW engine is proposed, one that is called Perceptual Reasoning, and is proved to always satisfy this assumption.

Computing withWords for Hierarchical and Distributed Decision-Making

A Journal Publication Judgment Advisor (JPJA) is designed as an example to show how the journal paper review process can be automated by the Per-C, a specific architecture for subjective decision-making using CWW.

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

This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.

Fuzzy logic = computing with words

  • L. Zadeh
  • Computer Science
    IEEE Trans. Fuzzy Syst.
  • 1996
The point of this note is that fuzzy logic plays a pivotal role in CW and vice-versa and, as an approximation, fuzzy logic may be equated to CW.

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

A new (proportional) 2-tuple fuzzy linguistic representation model for computing with words (CW), which is based on the concept of "symbolic proportion," which 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.

Computing with Words in Decision support Systems: An overview on Models and 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.
...