A Study of Fuzzy Logic as a Decision Support System for Determining the Best Athletes


  • Siddik Karo-Karo
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Decision Support System, Fuzzy Logic, Decision Maker


The selection of athletes with the best conditions is very required to follow various sports agenda that will be followed, to do the selection can be used decision support system by applying fuzzy logic as a tool of decision maker by doing the selection of variables used. Expected results with the use of this fuzzy logic obtained optimal selection with sufficient variables complete and the best athlete is a recommendation given and not made the final decision.




[1] J. Baker, S. Cobley, and J. Fraser-Thomas, “What do we know about early sport specialization? Not much!,†High Abil. Stud., 2009.

[2] W. L. Haskell et al., “Physical Activity and Public Health,†Med. {&} Sci. Sport. {&} Exerc., 2007.

[3] B. W. Smith, J. Dalen, K. Wiggins, E. Tooley, P. Christopher, and J. Bernard, “The brief resilience scale: Assessing the ability to bounce back,†Int. J. Behav. Med., 2008.

[4] J. Bangsbo, M. Mohr, and P. Krustrup, “Physical and metabolic demands of training and match-play in the elite football player,†in Nutrition and Football: The FIFA/FMARC Consensus on Sports Nutrition, 2006.

[5] J. Bonneau and J. Brown, “Physical ability, fitness and police work,†Journal of Clinical Forensic Medicine. 1995.

[6] T. Dexter, “Relationships between sport knowledge, sport performance and academic ability: Empirical evidence from GCSE Physical Education,†J. Sports Sci., 1999.

[7] National Association for Sport and Physical Education, “Physical Education is Critical to a Complete Education,†National Association for Sport and Physical Education. 2001.

[8] P. Maulder and J. Cronin, “Horizontal and vertical jump assessment: Reliability, symmetry, discriminative and predictive ability,†Phys. Ther. Sport, 2005.

[9] D. Abdullah et al., “A Slack-Based Measures for Improving the Efficiency Performance of Departments in Universitas Malikussaleh,†Int. J. Eng. Technol., vol. 7, no. 2, pp. 491–494, Apr. 2018.

[10] H. Hartono et al., “A New Diversity Technique for Imbalance Learning Ensembles,†Int. J. Eng. Technol., vol. 7, no. 2, pp. 478–483, Apr. 2018.

[11] O. S. Sitompul and E. B. Nababan, “Optimization Model of K-Means Clustering Using Artificial Neural Networks to Handle Class Imbalance Problem,†IOP Conf. Ser. Mater. Sci. Eng., vol. 288, p. 012075, Jan. 2018.

[12] C. I. Erliana and D. Abdullah, “Application of The MODAPTS method with innovative solutions in the cement packing process,†vol. 7, no. 2, pp. 470–473, 2018.

[13] D. Abdullah, Tulus, S. Suwilo, S. Effendi, and Hartono, “DEA Optimization with Neural Network in Benchmarking Process,†IOP Conf. Ser. Mater. Sci. Eng., vol. 288, no. 1, p. 012041, Jan. 2018.

[14] D. Abdullah, S. Suwilo, Tulus, H. Mawengkang, and S. Efendi, “Data envelopment analysis with upper bound on output to measure efficiency performance of departments in Malaikulsaleh University,†J. Phys. Conf. Ser., vol. 890, no. 1, p. 012102, Sep. 2017.

[15] I. K. G. D. Putra and P. M. Prihatini, “Fuzzy Expert System for Tropical Infectious Disease by Certainty Factor,†Telkomnika, vol. 10, no. 4, pp. 825–836, 2012.

[16] A. Sabir and M. Kassas, “A novel and simple hybrid fuzzy/pi controller for brushless dc motor drives,†Automatika, vol. 56, no. 4, pp. 424–435, 2015.

[17] B. Bede, “Mathematics of fuzzy sets and fuzzy logic,†Stud. Fuzziness Soft Comput., vol. 295, pp. 1–274, 2013.

[18] R. F. Jumarni and N. Zamri, “An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems,†Int. J. Eng. Technol., vol. 7, no. 2, pp. 102–106, 2018.

[19] N. H. Phuong and V. Kreinovich, “Fuzzy logic and its applications in medicine,†Int. J. Med. Inform., vol. 62, no. 2–3, pp. 165–173, 2001.

[20] L. Suganthi, S. Iniyan, and A. A. Samuel, “Applications of fuzzy logic in renewable energy systems - A review,†Renewable and Sustainable Energy Reviews, vol. 48. pp. 585–607, 2015.

[21] A. Aljuaidi, “Decision support system analysis with the graph model on non-cooperative generic water resource conflicts,†Int. J. Eng. Technol., vol. 6, no. 4, p. 145, Oct. 2017.

[22] S. H. Zanakis, A. Solomon, N. Wishart, and S. Dublish, “Multi-attribute decision making: A simulation comparison of select methods,†Eur. J. Oper. Res., vol. 107, no. 3, pp. 507–529, 1998.

[23] R. Nasriyah, Z. Arham, and Q. Aini, “Profile matching and competency based human resources management approaches for employee placement decision support system (case study),†Asian J. Appl. Sci., vol. 9, no. 2, pp. 75–86, 2016.

[24] A. ÅatuszyÅ„ska, “Multiple-Criteria Decision Analysis Using Topsis Method For Interval Data In Research Into The Level Of Information Society Development,†Folia Oeconomica Stetin., vol. 13, no. 2, pp. 63–76, Jan. 2014.

[25] P. G. W. Keen, “Decision support systems: a research perspective,†Decis. Support Syst. Issues Challenges Proc. an Int. Task Force Meet., pp. 23–44, 1980.

[26] Khairul;, M. Simaremare, A. Putera, and U. Siahaan, “Decision Support System in Selecting The Appropriate Laptop Using Simple Additive Weighting,†Int. J. Recent TRENDS Eng. Res., vol. 2, no. 12, pp. 215–222, 2016.

[27] Y. Rossanty, S. Aryza, M. D. T. P. Nasution, and A. P. U. Siahaan, “Design service of QFD and SPC methods in the process performance potential gain and customers value in a company,†Int. J. Civ. Eng. Technol., vol. 9, no. 6, pp. 820–829, 2018.

[28] M. D. T. P. Nasution, A. P. U. Siahaan, Y. Rossanty, and S. Aryza, “The phenomenon of cyber-crime and fraud victimization in online shop,†Int. J. Civ. Eng. Technol., vol. 9, no. 6, pp. 1583–1592, 2018.

[29] M. Dharma et al., “ONLINE SHOPPERS ACCEPTANCE : AN EXPLORATORY STUDY,†Int. J. Civ. Eng. Technol., vol. 9, no. 6, pp. 793–799, 2018.

[30] Rusiadi et al., “Dependence of poverty dependence on Indonesian economic fundamentals: Sfavar approach,†Int. J. Civ. Eng. Technol., vol. 9, no. 6, pp. 1524–1534, 2018.

[31] V. N. S. Lestari, V. N. S. Lestari, H. Djanggih, A. Aswari, N. Hipan, and A. P. U. Siahaan, “Technique for Order Preference by Similarity to Ideal Solution as Decision Support Method for Determining Employee Performance of Sales Section,†Int. J. Eng. Technol., vol. 7, no. 2.14, pp. 281–285, Apr. 2018.

[32] V. Tahani, “A fuzzy model of document retrieval systems,†Inf. Process. Manag., vol. 12, no. 3, pp. 177–187, 1976.

[33] A. Maseleno, M. M. Hasan, M. Muslihudin, and T. Susilowati, “Finding Kicking Range of Sepak Takraw Game: Fuzzy Logic and Dempster-Shafer Theory Approach,†Indones. J. Electr. Eng. Comput. Sci., vol. 2, no. 1, p. 187, 2016.

[34] A. Maseleno, N. Tuah, and C. R. Tabbu, “Fuzzy Logic and Dempster-Shafer Theory to Predict the Risk of Highly Pathogenic Avian Influenza H5n1 Spreading Computer Science Program , Universiti Brunei Darussalam , Faculty of Veterinary Medicine , Gadjah Mada University , Indonesia,†World Appl. Sci. J., vol. 34, no. 8, pp. 995–1003, 2016.

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How to Cite

Karo-Karo, S., ., ., ., ., ., ., & ., . (2018). A Study of Fuzzy Logic as a Decision Support System for Determining the Best Athletes. International Journal of Engineering & Technology, 7(2.13), 348–351. https://doi.org/10.14419/ijet.v7i2.13.16918
Received 2018-08-05
Accepted 2018-08-05
Published 2018-04-15