Fuzzy Logic, Soft Computing, and Applications

 

Abstract

Citation

Please, cite this work as:

[CCO09] I. P. Cabrera, P. Cordero, and M. Ojeda-Aciego. “Fuzzy Logic, Soft Computing, and Applications”. In: Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I. Ed. by J. Cabestany, F. S. Hernández, A. Prieto and J. M. Corchado. Vol. 5517. Lecture Notes in Computer Science. Springer, 2009, pp. 236-244. DOI: 10.1007/978-3-642-02478-8_30. URL: https://doi.org/10.1007/978-3-642-02478-8_30.

BibTeX

@InProceedings{Cabrera2009c,
     author = {Inma P. Cabrera and Pablo Cordero and Manuel Ojeda-Aciego},
     booktitle = {Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, {IWANN} 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part {I}},
     title = {Fuzzy Logic, Soft Computing, and Applications},
     year = {2009},
     editor = {Joan Cabestany and Francisco Sandoval Hern{’a}ndez and Alberto Prieto and Juan M. Corchado},
     pages = {236–244},
     publisher = {Springer},
     series = {Lecture Notes in Computer Science},
     volume = {5517},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/conf/iwann/CabreraCO09.bib},
     doi = {10.1007/978-3-642-02478-8_30},
     timestamp = {Fri, 06 Dec 2019 09:55:14 +0100},
     url = {https://doi.org/10.1007/978-3-642-02478-8_30},
}

Bibliometric data

The following data has been extracted from resources such as OpenAlex, Dimensions, PlumX or Altmetric.

10

CITATIONS

10 Total citations

0 Recent citations

2.49 Field Citation Ratio

n/a Relative Citation Ratio

• Citations
• CrossRef - Citation Indexes: 4
• Scopus - Citation Indexes: 14

• Captures
• Mendeley - Readers: 46

-

see details

Cites

The following graph plots the number of cites received by this work from its publication, on a yearly basis.

Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] I. Alsyouf. “Wind energy system reliability and maintainability, and operation and maintenance strategies”. In: Wind Energy Systems. Elsevier, 2011, p. 303–328. ISBN: 9781845695804. DOI: 10.1533/9780857090638.3.303. URL: http://dx.doi.org/10.1533/9780857090638.3.303.

[2] T. C. Cordovés, A. R. Suárez, and R. A. E. Andrade. “Knowledge Discovery by Fuzzy Predicates”. In: Soft Computing for Business Intelligence. Springer Berlin Heidelberg, 2014, p. 187–196. ISBN: 9783642537370. DOI: 10.1007/978-3-642-53737-0_13. URL: http://dx.doi.org/10.1007/978-3-642-53737-0_13.

[3] A. Ghandar, Z. Michalewicz, and R. Zurbruegg. “The relationship between model complexity and forecasting performance for computer intelligence optimization in finance”. In: International Journal of Forecasting 32.3 (Jul. 2016), p. 598–613. ISSN: 0169-2070. DOI: 10.1016/j.ijforecast.2015.10.003. URL: http://dx.doi.org/10.1016/j.ijforecast.2015.10.003.

[4] M. Gupta, P. Garg, and P. Agarwal. “Ant Colony Optimization Technique in Soft Computational Data Research for NP-Hard Problems”. In: Artificial Intelligence for a Sustainable Industry 4.0. Springer International Publishing, 2021, p. 197–211. ISBN: 9783030770709. DOI: 10.1007/978-3-030-77070-9_12. URL: http://dx.doi.org/10.1007/978-3-030-77070-9_12.

[5] N. Iqbal and J. Sang. “Fuzzy Logic Testing Approach for Measuring Software Completeness”. In: Symmetry 13.4 (Apr. 2021), p. 604. ISSN: 2073-8994. DOI: 10.3390/sym13040604. URL: http://dx.doi.org/10.3390/sym13040604.

[6] D. Kaur. “Simulations of Various Applications of Fuzzy Logic using the MATLAB”. In: International Journal of Computer Applications 141.13 (May. 2016), p. 39–45. ISSN: 0975-8887. DOI: 10.5120/ijca2016909746. URL: http://dx.doi.org/10.5120/ijca2016909746.

[7] H. Kerdegari, S. Mokaram, K. Samsudin, et al. “A pervasive neural network based fall detection system on smart phone”. In: Journal of Ambient Intelligence and Smart Environments 7.2 (2015), p. 221–230. ISSN: 1876-1364. DOI: 10.3233/ais-150306. URL: http://dx.doi.org/10.3233/ais-150306.

[8] L. Kumar, S. Srivastava, R. Gupta, et al. “Soft Computing Applications in Solving Real Life Problems”. In: SSRN Electronic Journal (2022). ISSN: 1556-5068. DOI: 10.2139/ssrn.4157331. URL: http://dx.doi.org/10.2139/ssrn.4157331.

[9] P. K. K. Loh and D. Subramanian. “Fuzzy Classification Metrics for Scanner Assessment and Vulnerability Reporting”. In: IEEE Transactions on Information Forensics and Security 5.4 (Dec. 2010), p. 613–624. ISSN: 1556-6021. DOI: 10.1109/tifs.2010.2075926. URL: http://dx.doi.org/10.1109/tifs.2010.2075926.

[10] K. Mankad and P. S. Sajja. “Measuring Human Intelligence by Applying Soft Computing Techniques: A Genetic Fuzzy Approach”. In: Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems. IGI Global, 2013, p. 130–155. DOI: 10.4018/978-1-4666-1900-5.ch006. URL: http://dx.doi.org/10.4018/978-1-4666-1900-5.ch006.

[11] R. Nagpal, D. Mehrotra, and P. K. Bhatia. “The State of Art in Website Usability Evaluation Methods”. In: Design Solutions for User-Centric Information Systems. IGI Global, 2017, p. 275–296. DOI: 10.4018/978-1-5225-1944-7.ch015. URL: http://dx.doi.org/10.4018/978-1-5225-1944-7.ch015.

[12] Z. Pei and L. Yi. “A note on operations of hesitant fuzzy sets”. In: International Journal of Computational Intelligence Systems 8.2 (2015), p. 226. ISSN: 1875-6883. DOI: 10.1080/18756891.2015.1001947. URL: http://dx.doi.org/10.1080/18756891.2015.1001947.

[13] K. Qin and Z. Hong. “On soft equality”. In: Journal of Computational and Applied Mathematics 234.5 (Jul. 2010), p. 1347–1355. ISSN: 0377-0427. DOI: 10.1016/j.cam.2010.02.028. URL: http://dx.doi.org/10.1016/j.cam.2010.02.028.