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Application of Fuzzy Analytic Hierarchy Process to Building Research Teams

Application of Fuzzy Analytic Hierarchy Process to Building Research Teams AbstractBuilding teams has a fundamental impact for execution of research and development projects. The teams appointed for the needs of given projects are based on individuals from both inside and outside of the organization. Knowledge is not only a product available on the market but also an intangible resource affecting their internal and external processes. Thus it is vitally important for businesses and scientific research facilities to effectively manage knowledge within project teams. The article presents a proposal to use Fuzzy AHP (Analytic Hierarchy Process ) and ANFIS (Adaptive Neuro Fuzzy Inference System) methods in working groups building for R&D projects on the basis of employees skills. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Management Systems in Production Engineering de Gruyter

Application of Fuzzy Analytic Hierarchy Process to Building Research Teams

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Publisher
de Gruyter
Copyright
© 2018
eISSN
2450-5781
DOI
10.2478/mspe-01-01-2016
Publisher site
See Article on Publisher Site

Abstract

AbstractBuilding teams has a fundamental impact for execution of research and development projects. The teams appointed for the needs of given projects are based on individuals from both inside and outside of the organization. Knowledge is not only a product available on the market but also an intangible resource affecting their internal and external processes. Thus it is vitally important for businesses and scientific research facilities to effectively manage knowledge within project teams. The article presents a proposal to use Fuzzy AHP (Analytic Hierarchy Process ) and ANFIS (Adaptive Neuro Fuzzy Inference System) methods in working groups building for R&D projects on the basis of employees skills.

Journal

Management Systems in Production Engineeringde Gruyter

Published: Mar 1, 2016

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