Fuzzy Decision Making and Applications

Dear Colleagues,

Although there is a long history of research on fuzzy logic and soft computing in the field of decision-making, it is still appealing due to the potential to solve a variety of real-world issues using the unique properties of the systems created by these methodologies. Decision-making systems should frequently cope with unclear facts, in particular. Additionally, a relevant confidence measure must be linked to the classification result in some application domains, such as differential diagnosis in medicine, in order to display all potential outcomes along with their relative likelihood. Since its debut by Zadeh (1965) in the 1960s, the discipline of "Fuzzy Decision Making and Applications" has been expanding its topic and boundaries in order to represent the complicated requirements of the information society. The fuzzy set's expansion to the bipolar fuzzy set, the intuitionistic fuzzy set, the hesitant fuzzy set, and other fuzzy sets is at the heart of the concept. Fuzzy decision-making and its applications in a variety of fields, including enterprise development planning of strategy initiatives, supplier selection in a supply chain, performance evaluation, site selection, safety evaluation, pattern recognition, and other quantitative measurements, have drawn the attention of an increasing number of researchers in recent years. In this row, our pleasure in publishing this Special Issue of Mathematics, which is a cross-section of research on fuzzy decision-making and applications affecting both social sciences and engineering technologies, stems from this.

Dr. Rajeev Kumar
Dr. Suhel Ahmad Khan
Dr. Alka Agrawal
Prof. Dr. Raees Ahmad Khan
Guest Editors

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