A Review of Digital Image Classification Based on Fuzzy Logic


  • Marzuki Sinambela Badan Meteorologi, Klimatologi dan Geofisika
  • Teguh Rahayu Badan Meteorologi, Klimatologi dan Geofisika
  • Eva Darnila Universitas Malikussaleh Lhokseumawe
  • Tonni Limbong Universitas Katolik Santo Thomas Medan




fuzzy logic, image classification, image, computer vision.


Fuzzy logic has long been an important issue for in the field of computer science, computer vision, image processing, machine learning and control theory and mathematics. In this review paper, we also see that the basics of fuzzy logic as well as fuzzy logic system (Fuzzy Inference System) use as decision making technique under a linguistic view of fuzzy sets. In this study, we focused to review the fuzzy logic to classification of digital image. The aim of this study was to review the fuzzy logic algorithm for classification of image.


J. A. Goguen, “in the First and P,†Publ. online by Cambridge Univ. Press, no. x, pp. 656–657, 1971.

P. D. Pallavi and P. J. J, “A Comprehensive Review On Fuzzy Logic System,†Int. J. Eng. Comput. Sci., vol. 3, no. 11, pp. 9160–9165, 2014.

U. R. Rosyara, D. Vromman, and E. Duveiller, “Canopy temperature depression as an indication of correlative measure of spot blotch resistance and heat stress tolerance in spring wheat,†J. Plant Pathol., vol. 90, no. 1, pp. 103–107, 2008.

O. Castillo, M. A. Sanchez, C. I. Gonzalez, and G. E. Martinez, “Review of recent type-2 fuzzy image processing applications,†Inf., vol. 8, no. 3, 2017.

P. Sobrevilla and E. Montseny Masip, “Fuzzy sets in computer vision: an overview,†Mathw. soft Comput., vol. 10, no. 3, pp. 71–83, 2003.

D. Lu and Q. Weng, “A survey of image classification methods and techniques for improving classification performance,†Int. J. Remote Sens., vol. 28, no. 5, pp. 823–870, 2007.

K. Mondal, P. Dutta, and S. Bhattercharyya, “Gray image extraction using fuzzy logic,†Proc. - 2012 2nd Int. Conf. Adv. Comput. Commun. Technol. ACCT 2012, pp. 289–296, 2012.

M. Radojević, I. Smal, and E. Meijering, “Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons,†Neuroinformatics, vol. 14, no. 2, pp. 201–219, 2016.

H. Haußecker and H. R. Tizhoosh, Fuzzy Image Processing, no. January 1999. 2000.

C. G. Amza and D. T. Cicic, “Industrial image processing using fuzzy-logic,†Procedia Eng., vol. 100, no. January, pp. 492–498, 2015.

C. Kahraman, B. Öztayşi, and S. Çevik Onar, “A Comprehensive Literature Review of 50 Years of Fuzzy Set Theory,†Int. J. Comput. Intell. Syst., vol. 9, pp. 3–24, 2016.

A. Šostaks, “Mathematics in the context of fuzzy sets: Basic ideas, concepts, and some remarks on the history and recent trends of development,†Math. Model. Anal., vol. 16, no. 2, pp. 173–198, 2011.

D. Neff, “Fuzzy set theoretic applications in poverty research,†Policy Soc., vol. 32, no. 4, pp. 319–331, 2013.

E. E. KERRE and J. N. MORDESON, “a Historical Overview of Fuzzy Mathematics,†New Math. Nat. Comput., vol. 01, no. 01, pp. 1–26, 2005.

L. A. Zadeh, “Fuzzy logic - A personal perspective,†Fuzzy Sets Syst., vol. 281, pp. 4–20, 2015.

F. Dernoncourt, “Fuzzy logic : between human reasoning and artificial intelligence,†no. January, 2011.

I. Bloch, “Fuzzy sets for image processing and understanding,†Fuzzy Sets Syst., vol. 281, pp. 280–291, 2015.

S. Rajab and V. Sharma, “A review on the applications of neuro-fuzzy systems in business,†Artif. Intell. Rev., vol. 49, no. 4, pp. 481–510, 2018.



How to Cite

Sinambela, M., Rahayu, T., Darnila, E., & Limbong, T. (2020). A Review of Digital Image Classification Based on Fuzzy Logic. MEANS (Media Informasi Analisa Dan Sistem), 5(1), 37–40. https://doi.org/10.54367/means.v5i1.704



Daftar Artikel

Most read articles by the same author(s)

1 2 > >>