International Journal of Man-Machine Studies
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration
Fuzzy Sets and Systems
An analogue vector matching architecture
Analog Integrated Circuits and Signal Processing
Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps
Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps
Cognition, Technology and Work
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Quotient FCMs-a decomposition theory for fuzzy cognitive maps
IEEE Transactions on Fuzzy Systems
| Hi-index | 12.05 |
The changing climate in supply chain management, driven by technological trends, increased competition, demand pressure, globalization and outsourcing has led companies to be more receptive to forming coalitions while taking a broader strategic view of the marketplace. The structure of a transport coalition is an important issue influencing the life cycle of such relationships. This structure is a set of consensual relationships that connect key operating criteria for the coalition. The structure can change over time. This structural change is causal and its extreme situation might cause deterioration of the coalition. This work proposes a systematic way of analyzing the causal inference mechanism between the operating collaborative criteria and their categories in transport collaboration using a fuzzy cognitive map based approach. The findings address the decision making on the level of collaborative integration of coalition by the detection thresholds according to ''go'', ''go with conditions'' and ''no-go'' signals. This approach is supported with the application to a ''real world'' case of a multi-echelon heterarchical transport network through a series of simulation experiments.