M
Mohammad Hossein Abooie
Researcher at Yazd University
Publications - 14
Citations - 42
Mohammad Hossein Abooie is an academic researcher from Yazd University. The author has contributed to research in topics: Stochastic programming & Time horizon. The author has an hindex of 4, co-authored 14 publications receiving 39 citations. Previous affiliations of Mohammad Hossein Abooie include Amirkabir University of Technology.
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Journal Article
A Nonlinear Autoregressive Model with Exogenous Variables Neural Network for Stock Market Timing: The Candlestick Technical Analysis
TL;DR: The nonlinear autoregressive model with exogenous variables as a new neural network is used for timing of the stock markets on the basis of the technical analysis of Japanese Candlestick to prove that to some extent the approaches have similar performances while apparently, they are superior to a feed-forward static neural network.
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Performance evaluation of continuous production process by trapezoidal fuzzy process capability indices
TL;DR: In this study, the fuzzy X and MRX control charts are used to analyse the process of continuous production in terms of trapezoidal fuzzy numbers (TrFN) and results show that in continuous production processes, fuzzy measurements can yield a more accurate analysis.
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Capturing the time-dependence in the precipitation process for weather risk assessment
TL;DR: In this article, the authors investigated the seasonal, long-term and time-dependence properties of the precipitation process using daily precipitation amount records in Calgary and developed occurrence-amount models which capture the complex properties of precipitation process.
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Investigation of Customer Priorities for Machine Made Carpet Through Conjoint and Cluster Analysis (Case Study in Yazd, Iran)
TL;DR: Estimating the relative importance of the main attributes affecting customer desire for purchasing machine made carpet and the utility values for the different levels of each one by means of conjoint analysis shows that design of carpet is the most important attribute for the choice of carpet.
A Stochastic Approach to Hotel Revenue Management Considering Individual and Group Customers
TL;DR: In this article, a stochastic model for capacity allocation with robust optimization in the quantity-based revenue management is developed, which considers customers' arrival both individually and in group, limited time horizon and capacity.