A fuzzy AHP application in government-sponsored R&D project selection☆

By Chi-Cheng Huang, Pin-Yu Chu, Y. Chiang. 2008

437 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/143e00c3e203da27ed2a6ceb5690e29ecf130e20

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In Management of Technology and Innovation

In Management Science and Operations Research

In Safety, Risk, Reliability and Quality

Citations in the corpus

Criteria in AHP: A Systematic Review of Literature (2015, neutral): “However, they also were called aspects [33,36] attributes [36], classes [22], dimension [35,39], families [38], index [30], and perspectives [33].”
Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment (2011, methodology): “AHP has been extensively applied by academics and professionals [12,14–20].”
An assessment of exploiting renewable energy sources with concerns of policy and technology (2010, background): “…(2008b) Technical maturity The extents to which application of renewable energy sources is technically mature Beccali et al. (2003), Wang et al. (2008), Huang et al. (2008), Wang et al. (2009a, 2009b) Potential for commercialization The potential of successful commercialization based on assessed…”
A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain (2012, methodology): “Huang et al. (2008) employed fuzzy AHP to make selection on different R&D projects.”
The state-of-the-art integrations and applications of the analytic hierarchy process (2017, background): “…including knowledge management projects for a Taiwanese LCD manufacturing company (Wang and Chang, 2007), a government-sponsored industrial technology development program assessment in Taiwan (Huang et al., 2008), and a transportation project assessment in the United States (Arslan, 2009).”
A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods (2010, methodology): “Huang, Chu, and Chiang (2008) adopt a fuzzy analytic hierarchy process method and utilize crisp judgment matrix to evaluate subjective expert judgments made by perception.”