The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration
Fuzzy Sets and Systems
Multidimensional data in multidimensional scaling using the analytic network process
Pattern Recognition Letters
Information Sciences: an International Journal
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Building the evaluation model of the IT general control for CPAs under enterprise risk management
Decision Support Systems
Prioritization and management of inter-enterprise collaborative performance
Decision Support Systems
Using ANP priorities with goal programming in resource allocation in transportation
Mathematical and Computer Modelling: An International Journal
Negative priorities in the analytic hierarchy process
Mathematical and Computer Modelling: An International Journal
Comparison of weights in TOPSIS models
Mathematical and Computer Modelling: An International Journal
A hybrid MCDM methodology for ERP selection problem with interacting criteria
Decision Support Systems
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The main purpose of this research is to propose an effective hybrid process for evaluating district development directions concerning district revitalization and regeneration (DRAR) prospects along with simultaneous positive and negative conflict criteria and their interdependence. Accordingly, the fuzzy Delphi method (FDM), the interpretive structural modeling (ISM), and the analytic network process (ANP) with benefits, opportunities, costs, and risks (BOCR) are integrated to construct a project selection model regarding the DRAR. A real case in Jiufen in Taiwan is studied using the proposed model to evaluate four feasible development directions, and the results verify the applicability of the novel MCDM method. This hybrid process can not only transform complex interaction of district reviving factors into simple quantitative evaluation, but its result can also be guidance for determining future development direction.