Multiple-Criteria Decision-Making and Computational Intelligence: Recent Applications

Dear Colleagues,

Human decision makers are guided by their own experience and intuition. Multiple-criteria decision-making (MCDM) and application of mathematical methods significantly reduces the influence of subjectivism and intuition in decision making. Multi-criteria decision-making is the process of choosing one alternative from a set of available alternatives or, in some cases, involves ranking alternatives based on a predefined set of specific criteria that usually have different meanings.

Computational intelligence (CI) is based on the three main complementary techniques: neural networks, fuzzy systems, and evolutionary computing. CI represents the mechanisms of intelligent behavior in complex and changing environments; mechanisms that can learn, adapt, etc.

This unique Special Issue on “Multiple-Criteria Decision-Making and Computational Intelligence: Recent Applications“ will include recent developments and applications in the aforementioned two areas. Topics include, but are not limited to:

• Decision theory and methods;
• MCDM in management;
• MCDM in engineering;
• Fuzzy, neutrosophic, and grey MCDM methods;
• Decision support systems;
• Group decision-making;
• Computational intelligence;
• Fuzzy systems;
• Artificial neural networks;
• Evolutionary computing;
• Data mining and text mining;
• Probabilistic methods;
• Computational learning theory.

Prof. Dr. Darjan Karabašević
Prof. Dr. Dragiša Stanujkić
Prof. Dr. Gabrijela Popovic
Prof. Dr. Alptekin Ulutaş
Prof. Dr. Muzafer Saračević
Guest Editors

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