Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Gholamreza Hesamian"'
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200378- (2024)
Machine learning applied to regression models offers powerful mathematical tools for predicting responses based on one or more predictor variables. This paper extends the concept of multiple linear regression by implementing a learning system and inc
Externí odkaz:
https://doaj.org/article/d9b1673a00d24df786492a1a2c9d92e7
Publikováno v:
Fuzzy Information and Engineering, Vol 15, Iss 1, Pp 55-68 (2023)
During the last decades, several methods have been proposed for Kolmogorov−Smirnov one-sample test based on fuzzy random variables to describe the impression of classical random variables. However, such techniques do not discuss the modeling of imp
Externí odkaz:
https://doaj.org/article/ed5317ed7028405fb8c09f67aa7179f6
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4022 (2023)
In this paper, an exponential autoregressive model for complex time series data is presented. As for estimating the parameters of this nonlinear model, a three-step procedure based on quantile methods is proposed. This quantile-based estimation techn
Externí odkaz:
https://doaj.org/article/90f6242b6568431aa37a7a46d75e5db4
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2800 (2023)
In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well
Externí odkaz:
https://doaj.org/article/40b25d89f93544cc86f46b772127a3eb
Publikováno v:
International Journal of Research in Industrial Engineering, Vol 10, Iss 2, Pp 138-154 (2021)
Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty. However, many of research wo
Externí odkaz:
https://doaj.org/article/fb9c8f3fb033406dab1348e06148aab4
Publikováno v:
مجله مدل سازی در مهندسی, Vol 17, Iss 59, Pp 47-65 (2019)
In many decision-making issues, fuzzy sets are used to deal with ambiguities in linguistic data, However, this data is be defuzzified to make comparisons between the attributes and determine alternatives rating, during the problem solving process, de
Externí odkaz:
https://doaj.org/article/ad2e941fbcde4c16a6723748fc3ca34c
Autor:
Mehdi Shams, Gholamreza Hesamian
Publikováno v:
Sahand Communications in Mathematical Analysis, Vol 15, Iss 1, Pp 189-201 (2019)
In this paper, we propose a novel method for ranking a set of fuzzy numbers. In this method a preference index is proposed based on $alpha$-optimistic values of a fuzzy number. We propose a new ranking method by adopting a level of credit in the orde
Externí odkaz:
https://doaj.org/article/85206abda32842c7ab1a07391f3d1c67
Autor:
Jalal Chachi, Gholamreza Hesamian
Publikováno v:
Journal of Mathematical Extension, Vol 10, Iss 1, Pp 87-105 (2016)
Externí odkaz:
https://doaj.org/article/509b09f557104d1d88542a4450056a32
Publikováno v:
Mathematics; Volume 11; Issue 13; Pages: 2800
In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::28ded376b7a9c11a79f9a3f875a3c986
Publikováno v:
Artificial Intelligence Review.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48ba764d8acb0c89eaa738712ee75dc7
https://doi.org/10.1007/s10462-023-10485-5
https://doi.org/10.1007/s10462-023-10485-5