caa a22 4500 605469857 CHVBK 20210128100324.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00500-014-1418-2 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1418-2 Fuzzy logistic regression with least absolute deviations estimators [Elektronische Daten] [Mahshid Namdari, Jin Yoon, Alireza Abadi, S. Taheri, Seung Choi] This study is an investigation of fuzzy logistic regression model for crisp input and fuzzy output data. The response variable is non-precise and is measured by linguistic terms. Especially this research develops least absolute deviations (LAD) method for modeling and compares the results with the least squares estimation (LSE) method. For these, two estimation methods, min-max method and fitting method, are provided in this research. This study presents new goodness-of-fit indices which are called measure of performance based on fuzzy distance $$(M_p)$$ ( M p ) and index of sensitivity $$(I_S)$$ ( I S ) . The study gives two numerical examples in real clinical studies about systematic lupus erythematosus and the other one in the field of nutrition to explain the proposed methods. In addition, we investigate the sensitivity of two estimation methods in the case of outliers by a numerical example. Springer-Verlag Berlin Heidelberg, 2014 Fuzzy logistic regression nationallicence Least absolute deviations estimation nationallicence Least squares estimation nationallicence Linguistic variable nationallicence Measure of performance nationallicence Index of sensitivity nationallicence Possibilistic odds nationallicence Namdari Mahshid Department of Biostatistics, Faculty of Paramedical Sciences and Dental School, Shahid Beheshti University of Medical Sciences, Tehran, Iran aut Yoon Jin School of Mathematics and Statistics, Sejong University, Seoul, South Korea aut Abadi Alireza Department of Health and Community Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran aut Taheri S. Faculty of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran aut Choi Seung School of Liberal Arts and Sciences, Korea Aerospace University, Koyang, South Korea aut Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 909-917 1432-7643 19:4<909 2015 19 500 https://doi.org/10.1007/s00500-014-1418-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1418-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Namdari Mahshid Department of Biostatistics, Faculty of Paramedical Sciences and Dental School, Shahid Beheshti University of Medical Sciences, Tehran, Iran aut NATIONALLICENCE 700 1- Yoon Jin School of Mathematics and Statistics, Sejong University, Seoul, South Korea aut NATIONALLICENCE 700 1- Abadi Alireza Department of Health and Community Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran aut NATIONALLICENCE 700 1- Taheri S. Faculty of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran aut NATIONALLICENCE 700 1- Choi Seung School of Liberal Arts and Sciences, Korea Aerospace University, Koyang, South Korea aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 909-917 1432-7643 19:4<909 2015 19 500