Zadehian Paradigms Shaping 21 Century Artificial Intelligence
Studies in Fuzziness and Soft Computing, ISSN: 1860-0808, Vol: 393, Page: 495-507
2021
- 1Citations
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Starting from the premise that Zadeh’s research heritage is irreducible to his 20th Century work, the paper aims to show that his Generalized Theory of Uncertainty is even more influential now, for 21 Century service-oriented engineering, than his papers on fuzzy sets were for the product-based industrial era. To mirror the whole architectonics of Zadeh’s work, the paper highlights the lasting puissance and evolution of 20 Century Zadehian paradigms. On this groundwork, two paradigmatic breakthroughs follow: (a) moving from ‘information is statistical in nature’ to ‘information is a generalized constraint’; (b) setting as target ‘achievement of NL-capability’. Next, two cardinal upshots: reshaping the relation between numbers and words and scaling down the importance of algorithmic paradigms. Both are needed to meet the challenge of modern artificial intelligence: interacting with living systems; emphasis is on model tractability (for efficiency) and on model interpretability (for user acceptance).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088453211&origin=inward; http://dx.doi.org/10.1007/978-3-030-47124-8_40; https://link.springer.com/10.1007/978-3-030-47124-8_40; https://dx.doi.org/10.1007/978-3-030-47124-8_40; https://link.springer.com/chapter/10.1007/978-3-030-47124-8_40
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know