2019
DOI: 10.7546/nifs.2019.25.4.78-82
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InterCriteria Analysis of body composition measurements data, associated with obesity among college students

Abstract: This study assessed the body composition indices associated with overweight/obesity among students at Medical College of University "Prof. Dr. Asen Zlatarov" in Burgas and also to verify the test assessment methods using the application of InterCriteria Analysis (ICA) to the data obtained from the tests. The data was analyzed in search of correlations between the results from the method of testing for some anthropometric measurements and certain findings are outlined and commented.

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Cited by 3 publications
(2 citation statements)
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“…The method of InterCriteria Analysis (ICA) is based on intuitionistic fuzzy sets, thus rendering account of the effects of uncertainty. Originally, ICA was being proposed in [2], and various aspects of its application over different data are given [6,13]. The ICA method is applied over а table with 25 rows (for the parameters describing the profile of the respondents) and 6 columns (for medical facilities).…”
Section: Methodsmentioning
confidence: 99%
“…The method of InterCriteria Analysis (ICA) is based on intuitionistic fuzzy sets, thus rendering account of the effects of uncertainty. Originally, ICA was being proposed in [2], and various aspects of its application over different data are given [6,13]. The ICA method is applied over а table with 25 rows (for the parameters describing the profile of the respondents) and 6 columns (for medical facilities).…”
Section: Methodsmentioning
confidence: 99%
“…In addition, the decision-making approach helps to determine the appropriate treatment courses such as medicine, physiotherapeutic, and kinesiotherapeutic programs. In the other four articles, ICrA was used as follows: to estimate the correlations between body Citation: Angelova, M.; Angelova, S.; Raikova, R. How to Optimize the Experimental Protocol for Surface EMG Signal Measurements Using the InterCriteria Decision-Making composition indices associated with overweight in healthy students [6]; to support the process for criteria pre-selection for a large set of 88 ECG criteria [7] concerning patients with arrhythmia; to compare physiological rhythm curves [8]; and to search for relationships between the level of air pollution and the number of people with a variety of health problems seeking medical help [9].…”
Section: Introductionmentioning
confidence: 99%