In the current study we examine the effects of interest rate changes on common stock returns of Greek banking sector. We examine the Generalized Autoregressive Heteroskedasticity (GARCH) process and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The conclusions of our findings are that the...

In decision making science, an important aspect is to select one strategy from available ones and to prioritize. Multi criteria decision making methods, especially fuzzy MCDM have made their way in to this field for several years. Among them, analytical hierarchy process (AHP) method and...

Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applications addresses theoretical and practical gaps in considering uncertainty and multicriteria factors encountered in the design, planning, and control of complex systems. Including all prerequisite knowledge and augmenting some...

PlThis paper deals with the fuzzy clustering modelling of the EMU enlargement process and envisages to determine the relative positioning of the candidates to the Euro adoption. Methodology includes construction of the fuzzy algorithm and simulations using as input-data the values of the...

Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for...

The implementation of supply chain initiatives (SCI) often requires specific investments in technology, material, organization and staff. However, the assessment of the economic viability of such inter-organizational activities is not a trivial issue. Philip Wessely supports managerial...