6533b7cefe1ef96bd1257bf2

RESEARCH PRODUCT

Seeking the Important Nodes of Complex Networks in Product R&D Team Based on Fuzzy AHP and TOPSIS

Hamid Reza KarimiQingpu ZhangWei Zhang

subject

EngineeringArticle SubjectHierarchy (mathematics)business.industrylcsh:MathematicsGeneral MathematicsGeneral EngineeringAnalytic hierarchy processTOPSISComplex networklcsh:QA1-939VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Constraint (information theory)Betweenness centralitylcsh:TA1-2040VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413Artificial intelligencelcsh:Engineering (General). Civil engineering (General)businessCentralityDecision-making models

description

Published version of article in the journal: Mathematical Problems in Engineering. Alo available from the publisher at: http://dx.doi.org/10.1155/2013/327592 Open Access How to seek the important nodes of complex networks in product research and development (R&D) team is particularly important for companies engaged in creativity and innovation. The previous literature mainly uses several single indicators to assess the node importance; this paper proposes a multiple attribute decision making model to tentatively solve these problems. Firstly, choose eight indicators as the evaluation criteria, four from centralization of complex networks: degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality and four from structural holes of complex networks: effective size, efficiency, constraint, and hierarchy. Then, use fuzzy analytic hierarchy process (AHP) to obtain the weights of these indicators and use technique for order preference by similarity to an ideal solution (TOPSIS) to assess the importance degree of each node of complex networks. Finally, taking a product R&D team of a game software company as a research example, test the effectiveness, operability, and efficiency of the method we established.

yearjournalcountryeditionlanguage
2013-01-01Mathematical Problems in Engineering
https://doi.org/10.1155/2013/327592