Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mir Seyed Mohammad Mohsen Emamat"'
Autor:
Mir Seyed Mohammad Mohsen Emamat, Caroline Maria de Miranda Mota, Mohammad Reza Mehregan, Mohammad Reza Sadeghi Moghadam, Philippe Nemery
Publikováno v:
Financial Innovation, Vol 8, Iss 1, Pp 1-35 (2022)
Abstract In recent years, multi-criteria sorting problems have become an interesting topic for researchers working on multi-criteria decision-making. ELimination and Choice Expressing REality (ELECTRE)-TRI and FlowSort are well-known approaches sugge
Externí odkaz:
https://doaj.org/article/4bd6c32042c14387b52fd8c0352a6f07
Publikováno v:
تحقیقات مالی, Vol 20, Iss 1, Pp 53-74 (2018)
Objective: The aim of this study is to propose a synthetic approach including Clustering and UTADIS models to form a profitable investment portfolio. Methods: In this research, securities are clustered using K-means method and the ideal number of clu
Externí odkaz:
https://doaj.org/article/b1cb4710455b4cbdba72398f92837c0e
Autor:
Mir Seyed Mohammad Mohsen Emamat, Maghsoud Amiri, Mohammad Reza Mehregan, Mohammad Taghi Taghavifard
Publikováno v:
Expert Systems with Applications. 215:119332
Publikováno v:
Informatica. :21-34
In this paper we deal with the problem of addition of new documents in collection when documents are represented in lower dimensional space by concept indexing. Concept indexing (CI) is a method of feature construction that is relying on concept deco
Publikováno v:
Expert Systems with Applications. 198:116826
In recent years, multi-criteria decision making (MCDM) is a significant part of operations research (OR) and has become an interesting topic to researcher who works in the data mining (DM) field. The aim of this chapter is to provide an in-depth pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10fbbc34770edff74bec425bf772fea6
https://doi.org/10.4018/978-1-5225-5137-9.ch003
https://doi.org/10.4018/978-1-5225-5137-9.ch003