Group decision support with the analytic hierarchy process
Decision Support Systems
Tool steel materials selection under fuzzy environment
Fuzzy Sets and Systems
Evaluating weapon systems using fuzzy arithmetic operations
Fuzzy Sets and Systems
Fuzzy logic and NeuroFuzzy applications in business and finance
Fuzzy logic and NeuroFuzzy applications in business and finance
Use of a keystroke log file to evaluate an interactive computer system in a museum setting
Computers & Education - Special issue on multimedia in education
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A hierarchical design of case-based reasoning in the balanced scorecard application
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
An application of fuzzy AHP for evaluating course website quality
Computers & Education
Using hybrid MCDM to evaluate the service quality expectation in linguistic preference
Applied Soft Computing
Expert Systems with Applications: An International Journal
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The balanced scorecard (BSC) is a multi-criteria evaluation concept that highlights the importance of performance measurement. However, although there is an abundance of literature on the BSC framework, there is a scarcity of literature regarding how the framework with dependence and interactive relationships should be properly implemented in uncertainty. This study proposes a hybrid approach: the analytic network process (ANP) is used to analyze the dependence aspects, the decision-making trial and evaluation laboratory (DEMATEL) is used to deal with the interactive criteria, and the fuzzy set theory is used to evaluate the uncertainty. The four BSC aspects and 22 criteria are evaluated for a private university of science and technology in Taiwan. The results show that student acquisition is the most influential and weighty criterion, and the annual growth in revenue is the most effective criterion. Managerial implications are also discussed, and concluding remarks are made.