Using Fuzzy Logic Decision Support System to Predict the Lifted Weight for Students at Weightlifting Class

This study aims at being acquainted with the using the
body fat percentage (%BF) with body Mass Index (BMI) as input
parameters in fuzzy logic decision support system to predict properly
the lifted weight for students at weightlifting class lift according to
his abilities instead of traditional manner. The sample included 53
male students (age = 21.38 ± 0.71 yrs, height (Hgt) = 173.17 ± 5.28
cm, body weight (BW) = 70.34 ± 7.87.6 kg, Body mass index (BMI)
23.42 ± 2.06 kg.m-2, fat mass (FM) = 9.96 ± 3.15 kg and fat
percentage (% BF) = 13.98 ± 3.51 %.) experienced the weightlifting
class as a credit and has variance at BW, Hgt and BMI and FM. BMI
and % BF were taken as input parameters in FUZZY logic whereas
the output parameter was the lifted weight (LW). There were
statistical differences between LW values before and after using
fuzzy logic (Diff 3.55± 2.21, P > 0.001). The percentages of the LW
categories proposed by fuzzy logic were 3.77% of students to lift 1.0
fold of their bodies; 50.94% of students to lift 0.95 fold of their
bodies; 33.96% of students to lift 0.9 fold of their bodies; 3.77% of
students to lift 0.85 fold of their bodies and 7.55% of students to lift
0.8 fold of their bodies. The study concluded that the characteristic
changes in body composition experienced by students when
undergoing weightlifting could be utilized side by side with the
Fuzzy logic decision support system to determine the proper
workloads consistent with the abilities of students.

Authors:

• Ahmed Abdulghani Taha
• Mohammad Abdulghani Taha

Keywords:

• Fuzzy logic
• body mass index
• body fat percentage
• weightlifting.

References:

[1] N. G. Norgan, "Anthropometry and physical performance" in
Anthropometry: the individual and the population, S.J. Ulijaszek and
C.G.N. Mascie-Taylor, Eds, Cambridge University Press, London, 1994.
[2] Brown SP, Miller WC, Eason, JM. Exercise Physiology: Basis of
Human Movement in Health and Disease. Philadelphia, PA: Lippincott,
Williams and Wilkins; 2006.
[3] ACE Personal Trainers Manual, Bryant CX and Green DJ, Editors.
American council on exercise at website:
http://www.acefitness.org/acefit/expert-insight-article/3/112/what-arethe-
guidelines-for-percentage-of/
[4] WHO, Global database on Body Mass Index, at website: apps.who/bmi.
[5] Garrow, J. S. & Webster, J. Quetelet's Index (W/H2) as a measure of
fatness, 1985. International Journal of Obesity 9, 147-53.
[6] Heymsfield, S. B., McManus, C , Smith, J., Stevens, V. & Nixon, D. W.
Anthropometric measurement of muscle mass: revised equations for
calculating bone-free arm muscle area, 1982. American Journal of
Clinical Nutrition 36, 680-90.
[7] (http://en.wikipedia.org/wiki/Olympic_weightlifting)
[8] Novák, Vilém; Perfilieva, Irina; Močkoř, Jiří Mathematical principles of
fuzzy logic. The Kluwer International Series in Engineering and
Computer Science, 1999, Kluwer Academic Publishers.
[9] Welon, Z., Jury nee, R. & Sliwa, W. Ci§zar nalezny meiczyzn. 1988,
Matieraly i Prace Antropologiczne 109, 53-71
[10] Malina, R.M. Anthropometry. In: Physiological Assessment of Human
Fitness. P.J. Maud and C. Foster, Eds. Champaign, IL: Human Kinetics,
1995.