Fuzzy Smokers Growth Model
نویسندگان
چکیده
منابع مشابه
Comparison of Cotinine Salivary Levels in Hookah Smokers, Passive Smokers, and Non-Smokers
Background: At present smoking is considered a great health-related problem. Smoking cigarettes and use of tobacco are on the rise in the Middle East countries; therefore, the number of people exposed to passive cigarette smoke is increasing, too. The aim of the present study was to determine and compare salivary cotinine levels in hookah smokers, individuals exposed to passive cigarette smoke ...
متن کاملthe use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولFuzzy model for risk analysis
The goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. Also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project X is a good investment”. This process has to enable the decision maker to compare several alternative invest...
متن کاملSomatotype, physical growth, and sexual maturation in young male smokers.
One thousand school boys aged 8 to 16 were examined for their somatotype, physical growth, sexual maturation, and smoking habits. Fifty-two boys were found to be smokers, of whom 30 were regularly smoking between two and 20 bidis or cigarettes a day for a mean duration of 2.5 years. The mean height and weight of the smokers was significantly lower than that of the non-smokers at all ages, more ...
متن کاملMultiple Fuzzy Regression Model for Fuzzy Input-Output Data
A novel approach to the problem of regression modeling for fuzzy input-output data is introduced.In order to estimate the parameters of the model, a distance on the space of interval-valued quantities is employed.By minimizing the sum of squared errors, a class of regression models is derived based on the interval-valued data obtained from the $alpha$-level sets of fuzzy input-output data.Then,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eduma : Mathematics Education Learning and Teaching
سال: 2020
ISSN: 2502-5309,2086-3918
DOI: 10.24235/eduma.v9i2.7345