Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/184590
Authors: 
Relich, Marcin
Year of Publication: 
2016
Citation: 
[Journal:] Foundations of Management [ISSN:] 2300-5661 [Volume:] 8 [Year:] 2016 [Issue:] 1 [Pages:] 21-34
Abstract: 
This paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrative example presents comparative analysis of estimating product development cost using computational intelligence techniques and multiple regression model.
Subjects: 
project management
neural networks
fuzzy neural system
constraint satisfaction problem
decision support system
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/3.0
Document Type: 
Article
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