Soft Computing and Fuzzy Optimization

Dear Colleagues,

Soft computing and fuzzy optimization techniques are widely considered to be essential for recent developments in a variety of sectors, including engineering, industry, management, economics, and medicine, for tackling complicated issues in a more human-like manner. They are mathematical approaches and techniques that mimic human thought processes by addressing cognition, problem solving, and information processing in sets of three and at different levels of complexity. As a computational paradigm, it works with approximate models by fusing together methods and ideas to cope with imprecision and uncertainty in instances where standard optimization approaches may fail or deliver inferior solutions. The use of fuzzy logic in optimization allows for the consideration of multiple conflicting objectives and the incorporation of subjective human preferences into the decision-making process.

As a result, researchers are beginning to consider the validity of constructing such powerful and possibly life-consequential technologies, going beyond the core competencies of soft computing approaches. There may be ethical implications to using soft computing methods, and there are real questions about the capacity of these approaches to endanger human control.

The articles included in this Special Issue demonstrate the versatility of fuzzy theory and its ability to provide solutions for complex and real-world problems. This Special Issue showcases the potential of fuzzy theory to improve and advance various areas of applied sciences. The articles in this Issue provide valuable insights into and useful tools for researchers, practitioners, and students in the field of applied sciences.

This Special Issue of Applied Sciences aims to provide leading experts in the area with a platform for discussing and disseminating the most current developments in the theory of fuzzy sets and fuzzy logic, as well as their extension and their applications to all dimensions of human endeavor. Researchers are welcome to submit to this Special Issue with a viewpoint on the applicability of these theories to knowledge-enhanced data analytics in the face of uncertainty. This Special Issue addresses real-world challenges associated with efficiently incorporating and explaining past information into the decision-making process, data analytics for autonomous decision making, and explanations of decision outcomes. Therefore, this Special Issue intends to convene academics and industry professionals with the purpose of sharing insights on recent developments and initiating new research directions into the practical implications of these rapidly expanding fields.

Dr. Shahzaib Ashraf
Guest Editor

Manuscript Submission Information

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• spherical fuzzy sets
• picture fuzzy sets
• q-rung orthopair fuzzy sets
• Pythagorean fuzzy set
• intuitionistic fuzzy set
• rough sets
• soft sets
• hesitant fuzzy sets
• complex fuzzy sets
• probabilistic fuzzy sets
• linear diophantine fuzzy sets
• forecasting and time series modelling
• linguistic modelling
• clustering analysis
• approximate data reasoning
• fuzzy Z-numbers
• decision making
• nulticriteria decision making