3 citations · 5 across the 5 of their papers we have counts for
5 papers
Linear Programming for Multi-Criteria Assessment with Cardinal and Ordinal Data: A Pessimistic Virtual Gap Analysis
Fuh-Hwa Franklin Liu, Su-Chuan Shih
Multi-criteria Analysis (MCA) is used to rank alternatives based on various criteria. Key MCA methods, such as Multiple Criteria Decision Making (MCDM) methods, estimate parameters…
Virtual Gap Analysis procedures for Multi-Criteria Decision-Making and Efficiency Analysis Problems
Fuh-Hwa Franklin Liu, Su-Chuan Shih
Existing multi-criteria decision-making (MCDM) methods often face challenges when evaluating a large number of alternatives, leading to skewed results in selecting the optimal choi…
A New Approach for Multicriteria Assessment in the Ranking of Alternatives Using Cardinal and Ordinal Data
Fuh-Hwa Franklin Liu, Su-Chuan Shih
Modern methods for multi-criteria assessment (MCA), such as Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), and Multiple Criteria Decision-Making (MCDM), are u…
Algorithms for Multi-Criteria Decision-Making and Efficiency Analysis Problems
Fuh-Hwa Franklin Liu, Su-Chuan Shih
Multi-criteria decision-making (MCDM) problems involve the evaluation of alternatives based on various minimization and maximization criteria. Similarly, efficiency evaluation (EA)…
Data envelopment analysis models or the virtual gap analysis model: Which should be used for identifying the best benchmark for each unit in a group?
Fun-Hwa Franklin Liu, Su-Chuan Shih
Decision-making units (DMUs) in a group convert the same resources (i.e., input indices) into the same products (i.e., output indices) at different scales. Performance indices have…