Applications of Fuzzy Optimization

Dear Colleagues,

In general, “fuzzy optimization” comprises a lot of problems, which can be roughly divided into two clasters: the problems of task formulation under different types  of uncertainty and the problems  of solution methods development. In my opinion, the first group of problems seems to be more important, since even an excellent solution of incorrectly formulated problems usually does not make sense. Therefore, papers devoted to methodological problems of local criteria formalization, their  aggregation, as well as the generalization of aggregation methods under a wide spectrum of uncertainties, such as interval, fuzzy, type 2 fuzzy, interval-valued fuzzy, intuitionistic fuzzy, hesitant fuzzy, evidential (Dempster–Shafer theory of evidence), etc., and their different combinations will be encouraged in this Special Issue in the first place. On the other hand, to fulfill the criterion of truth, the theoretical presentations should be accompanied by convincing, desirable real-word examples, and by the results of real problems solutions in different branches of technology, medicine, ecology, finance, etc. Of course, we welcome researchers who are focused on the development of new methods for the solution of optimization tasks under different types of uncertainty, with their real-world applications. Methods which are not entirely based on the direct reduction of a fuzzy problem to a real-valued one are particularly encouraged. Review papers presenting the modern state of the art in the promising directions in the field of fuzzy optimizations would also be interesting for researchers.

Prof. Ludmila Dymova
Guest Editor

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