Seyed Mahmoud Taheri
Faculty of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran
[ 1 ] - SOME PROBABILISTIC INEQUALITIES FOR FUZZY RANDOM VARIABLES
In this paper, the concepts of positive dependence and linearlypositive quadrant dependence are introduced for fuzzy random variables. Also,an inequality is obtained for partial sums of linearly positive quadrant depen-dent fuzzy random variables. Moreover, a weak law of large numbers is estab-lished for linearly positive quadrant dependent fuzzy random variables. Weextend some well known inequ...
[ 2 ] - FUZZY LINEAR REGRESSION BASED ON LEAST ABSOLUTES DEVIATIONS
This study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. A least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. The proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by...
[ 3 ] - FUZZY LOGISTIC REGRESSION: A NEW POSSIBILISTIC MODEL AND ITS APPLICATION IN CLINICAL VAGUE STATUS
Logistic regression models are frequently used in clinicalresearch and particularly for modeling disease status and patientsurvival. In practice, clinical studies have several limitationsFor instance, in the study of rare diseases or due ethical considerations, we can only have small sample sizes. In addition, the lack of suitable andadvanced measuring instruments lead to non-precise observatio...
[ 4 ] - PEDOMODELS FITTING WITH FUZZY LEAST SQUARES REGRESSION
Pedomodels have become a popular topic in soil science and environmentalresearch. They are predictive functions of certain soil properties based on other easily orcheaply measured properties. The common method for fitting pedomodels is to use classicalregression analysis, based on the assumptions of data crispness and deterministic relationsamong variables. In modeling natural systems such as s...
[ 5 ] - Fuzzy Meta-Analysis on the Role of Self-Regulation Learning on Learners' Academic Achivement
This study aims to use a method of systemic review, called meta-analysis, to analysis the results of studies carried out in Iran about the role of self-regulation learning on learners’ academic performance in the past decade. So far studies investigating the relationship between self-learning and academic achievement have been conducted mainly in the frame of classical statistical models...
[ 6 ] - Heuristic Approches to Fuzzy Regression
There are two main approches to the fuzzy regression (more precisely: regression in fuzzy environment): the least of sum of distances (including two methods of least squared errors and least absolute errors) and the possibilistic method (the method of least whole vaguness under some restrictions). Beside, some heuristic methods have been proposed to deal with fuzzy regression. Some o...
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