SCOPE OF THE SPECIAL ISSUE
Multi-Criteria Decision Making (MCDM) methods have seen an incredible amount of use over the last several decades. Its role in different application areas has increased significantly, especially as new MCDM methods are continuously developing and old methods are improved to assist decision-makers. MCDM techniques assist in refining the quality of decisions through its efficient and explicit processes. However, selection of appropriate MCDM technique depends on research problem, keywords, and research objectives. Additionally, the decision for selecting an appropriate weighting method so called as expert inputs is a difficult task in solving a multi-criteria decision problem. Sometimes the decisions are influenced by decision-makers and their environment, which has led to the exploring of various non-statistical methods (i.e., fuzzy set theory, rough set theory, possibility theory, or fuzzy neural networks) and their application with MCDM techniques.
The main objectives of this special issue to attract the research papers with the applications of various MCDM methods including recently developed methods and weighting methods with addition to fuzzy set theory, grey theory, rough set theory, and so on and their applications in the domain of Logistics and Transportation Engineering. The following methods (not limited to) can be applied in hybrid mode (more than one method) to solve the decision-making problems in logistics and transportation engineering will be appreciated.
• Best Worst Method (BWM)
• Goal Programming
• Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Analytical Network Process (ANP)
• Data Envelop Analysis (DEA)
• Graph Theory and Matrix Approach
• Technique for the Order of Prioritisation by Similarity to Ideal Solution (TOPSIS)
• Fuzzy VIKOR
• Evaluation Based on Distance from Average Solution (EDAS)
• Grey Relational Analysis (GRA)
• Hybrid Fuzzy SWARA and WASPAS approach
• Decision-Making Trial and Evaluation Laboratory (DEMATEL)
• Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)
The research and applications of advanced MCDM techniques have helped in solving decision-making problems in complex logistics and transportation processes. However, there is still ample opportunities because of the advancement in the decision-making theories and research problems in all domains including logistics and transportation. Moreover, addition of with fuzzy, grey, and rough set theory along with hybrid MCDM techniques will strengthen the decision-capabilities due to uncertainty of appropriate information in the process of evaluation. Accordingly, this special issue aims to promote excellent research results in all new domains of logistics and transportation engineering.
