Bahram Farhadinia | Ghoochan - Academia.edu (original) (raw)
Bahram Farhadinia is an Associated Professor of Applied Mathematics and currently he has been with the Department of Mathematics, Quchan University of Advanced Technology, Iran. He received the M.Sc. and Ph.D. degrees in Applied Mathematics from Ferdowsi University of Mashhad in 2003 and 2007, respectively. His research interests include group decision making, consensus models, linguistic modelling, and aggregation of information. His h-index is 13 with more than 576 citations received in Web of Science. Dr. Bahram Farhadinia is an Editor of several journals such as Recent Research in Science and Technology, Mathematical Modelling in Engineering Applications.
less
Uploads
Papers by Bahram Farhadinia
Although so far, many methods for ranking fuzzy numbers have been discussed broadly, most of them... more Although so far, many methods for ranking fuzzy numbers have been discussed broadly, most of them contained some shortcomings, such as requirement of complicated calculations, inconsistency with human intuition and indiscrimination. The motivation of this study is to develop a model for ranking fuzzy numbers based on the lexicographical ordering which provides decision-makers with a simple and efficient algorithm to generate an ordering founded on a precedence. The main emphasis here is put on the ease of use and reliability. The effectiveness of the proposed method is finally demonstrated by including a comprehensive comparing different ranking methods with the present one.
Journal of Software Engineering and Applications, 2010
The objective of the present article is to find an optimal design of a fan inlet to reduce the am... more The objective of the present article is to find an optimal design of a fan inlet to reduce the amount of noise radiated to the far field from the system. Against the gradient-based optimization algorithms, we employ here a method based on measure theory which does not require any information of gradients and the differentiability of cost function.
Although so far, many methods for ranking fuzzy numbers have been discussed broadly, most of them... more Although so far, many methods for ranking fuzzy numbers have been discussed broadly, most of them contained some shortcomings, such as requirement of complicated calculations, inconsistency with human intuition and indiscrimination. The motivation of this study is to develop a model for ranking fuzzy numbers based on the lexicographical ordering which provides decision-makers with a simple and efficient algorithm to generate an ordering founded on a precedence. The main emphasis here is put on the ease of use and reliability. The effectiveness of the proposed method is finally demonstrated by including a comprehensive comparing different ranking methods with the present one.
Journal of Software Engineering and Applications, 2010
The objective of the present article is to find an optimal design of a fan inlet to reduce the am... more The objective of the present article is to find an optimal design of a fan inlet to reduce the amount of noise radiated to the far field from the system. Against the gradient-based optimization algorithms, we employ here a method based on measure theory which does not require any information of gradients and the differentiability of cost function.