M. Mashinchi
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View article: Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study
Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study Open
COVID-19 is spreading all over Iran, and Kerman is one of the most affected cities. We conducted this study to predict COVID-19-related deaths, hospitalization, and infected cases under different scenarios (scenarios A, B, and C) by 31 Dec…
View article: Fuzzy linear regression with global continuous optimization
Fuzzy linear regression with global continuous optimization Open
Finding the global optimum of an unknown system has attracted a great deal of interest in many engineering problems. In this setting, meta-heuristics are very common and efficient approaches for solving complex real-world problems in Globa…
View article: Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution
Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution Open
The main focus of this paper is to extend fuzzy regression and its application. Therefore, we used nonlinear modeling to investigate the impact of information and communication technology (ICT) on the Gini coefficient. Hence, we calculated…
View article: Some notes on the category of fuzzy implications on bounded lattices
Some notes on the category of fuzzy implications on bounded lattices Open
In this paper, we introduce the product, coproduct, equalizer and coequalizer notions on the category of fuzzy implications on a bounded lattice that results in the existence of the limit, pullback, colimit and pushout.Also isomorphism, mo…
View article: A new method for rooting nonlinear equations based on the Bisection method
A new method for rooting nonlinear equations based on the Bisection method Open
Finding the roots of nonlinear equations has many applications in various sciences, especially engineering, and various methods have been proposed for this purpose. However, almost all these methods have some shortcoming. This paper presen…
View article: A method for estimating width bands of variables in economics under uncertainty conditions
A method for estimating width bands of variables in economics under uncertainty conditions Open
This study develops a method to estimate the width bands of variables in economics by fuzzy logic. One of its important features is flexibility in the conditions of economic uncertainty, which can be used to model the uncertainty of extern…
View article: Analysis of variance in uncertain environments
Analysis of variance in uncertain environments Open
Testing one-way analysis of variance (ANOVA) is used for experimental data analysis in which there is a continuous response variable and a single independent classification variable. In this paper, we extend one-way ANOVA to a case where o…
View article: Fuzzy multi-objective optimization of linear functions subject to max-arithmetic mean relational inequality constraints
Fuzzy multi-objective optimization of linear functions subject to max-arithmetic mean relational inequality constraints Open
The main goal of this work is to nd a better solution to a kind of multiobjective optimization problem subject to a system of fuzzy relational inequalities with max-arithmetic mean composition. First, this problem is solved and, then, in t…
View article: A Note on L-Fuzzy Bags and Their Expected Values
A Note on L-Fuzzy Bags and Their Expected Values Open
A definition of L-fuzzy bags is introduced and studied. In this approach, according to the concept given by M. Delgado et al. (2009), each bag has two parts: function and summary information. Then, the definition of L-fuzzy bag expected va…
View article: Process Capability Indices as Fuzzy Numbers
Process Capability Indices as Fuzzy Numbers Open
Most of the traditional methods for assessing the capability of manufacturing processes are dealing with crisp quality. In this paper we discuss the fuzzy quality and introduce fuzzy process capability indices, where instead of precise qua…
View article: A Simple but Efficient Approach for Testing Fuzzy Hypotheses
A Simple but Efficient Approach for Testing Fuzzy Hypotheses Open
In this paper, a new method is proposed for testing fuzzy hypotheses based on the following two generalized p-values: (1) the generalized p-value of null fuzzy hypothesis against alternative fuzzy hypothesis and (2) the generalized p-value…
View article: A Class of Multiple Objective Mathematical Programming Problems in a Rough Environment
A Class of Multiple Objective Mathematical Programming Problems in a Rough Environment Open
This paper presents a set of multiple objective programming problems in a rough environment. These problems are classified into five classes according to the location of the roughness in the objective functions or the feasible set. We stud…
View article: WHY FUZZY QUALITY?
WHY FUZZY QUALITY? Open
Such as other statistical problems, we may confront with uncertain and fuzzy concepts in quality control. One particular case in process capability analysis is a situation in which specification limits are two fuzzy sets. In such a uncerta…
View article: A theory for non-linear prediction approach inthe presence of vague variables: withapplication to BMI monitoring
A theory for non-linear prediction approach inthe presence of vague variables: withapplication to BMI monitoring Open
In the statistical literature, truncated distributions can be used for modeling real data. Due to error of measurement in truncated continuous data, choosing a crisp trimmed point caucuses a fault inference, so using fuzzy sets to define a…