Evaluation methodologies for technology selection

By Felix Tung Sun Chan, M. Chan, Nelson K. H. Tang. 2000

227 citations recorded by the source corpus.

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Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS (2009, background): “Having quantified both tangible and intangible benefits in fuzzy environment, Chan, Chan, and Tang (2000) provided a technology selection algorithm.”
Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey (2004, methodology): “Chan et al. (2000b) report an integrated approach for the automatic design of FMS, which uses simulation and multicriteria decision-making techniques.”
Fuzzy group decision making for selection among computer integrated manufacturing systems (2003, background): “[43] present a technology selection algorithm to quantify both tangible and intangible benefits in fuzzy environment.”
Intelligent building research: a review (2005, methodology): “Similarly, Abdel-Kader and Dugdale [1] suggested the same methodology to model and evaluate investment in advanced manufacturing technology, in order to ‘tackle the ambiguities involved in the process and to assure a more convincing and effective decision-making’ [25].”
Fuzzy group decision-making for facility location selection (2003, background): “[13] present a technology selection algorithm to quantify both tangible and intangible benefits in fuzzy environment.”