In entrepreneurship management, the evaluation and selection of startups for acceleration programs, especially technology-based startups, are crucial. This process involves considering numerical qualitative criteria such as sales, prior startup experience, demand validation, product maturity. To effectively rank based on varying importance these criteria, a fuzzy multi-criteria decision-making ...

DEMATEL is a popular approach in multi-criteria decision making (MCDM) to understand the influence relationship between elements. In addition, result of used as input other approaches explore further applications. However, may fail derive reasonable total matrix, i.e., all positive Hence, uses special normalization method avoid that situation. It has been reported selecting plays critical role ...

Information traceability of agricultural products is vital importance in the supply chain ongoing wave big data relying on a group advanced technologies, such as blockchain. This paper investigates how to effectively supervise and manage with regard information traceability. Starting from establishing system framework for tracing querying by applying BigchainDB, this combines Decision Making Tr...

The business process modeling tool selection problem has a significant impact on the overall performance of enterprise modeling, which will directly affect development information systems. Apart from that, to select all alternatives is Multi-Criteria Decision Making (MCDM) problem. This paper develops methodology based hybrid fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) Techn...

Exploring passengers’ consumption motivation can provide the basis for arranging commercial activities in high-speed rail (HSR) stations to generate more revenue operations. This study uses a mixed multiple-attribute decision-making model exploring at HSR and complex influential relationships from perspective. The passenger traffic five major Taiwan were evaluated. Based on results of trial eva...

Abstract Probabilistic linguistic term set (PLTS) provides a much more effective model to compute with words and express the uncertainty in pervasive natural language by probability information. In this paper, avoid loss of information, we redefine classical probabilistic sets (PLTSs) multiple distributions from an ambiguity perspective present some basic operations using Archimedean t-(co)norm...