Readers will find a lucid and systematic introduction to the essential concepts of fuzzy set-based information granules, their processing and detailed algorithms. Timely topics and recent advances in fuzzy mode
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Confronted with this pair of bottles, which would you choose to drink from first? Most readers familiar with the basic ideas of fuzzy sets, when presented with this experiment, immediately see that while A could contain, say, swamp water, it would not (discounting the possibility of a Machiav...
(This article belongs to the Special Issue: Distributed Computing with Applications to IoT and BlockChain) Abstract With the continuous growth of exponential data in IoT, it is usually chosen to outsource data to the cloud server. However, cloud servers are usually provided by third parties, an...
Pythagorean fuzzy sets are a type of fuzzy set extension introduced in the literature, characterized by their unique handling of uncertainties similar to Gaussian fuzzy sets. AI generated definition based on: Applied Soft Computing, 2023 About this pageSet alert ...
Part of the book series:Studies in Fuzziness and Soft Computing((STUDFUZZ,volume 291)) 993Accesses Abstract In this chapter, we present a tutorial about fuzzy answer set programming (FASP); we give a gentle introduction to its basic ideas and definitions. FASP is a combination of answer set...
The study is concerned with the fundamentals of granular computing. Granular computing, as the name itself stipulates, deals with representing information in the form of some aggregates (embracing a number of individual entitites) and their processing. W
Papers which deal with multi-physics problems, as well as those which deal with the interfaces of mechanics, chemistry, and biology, are particularly encouraged. Novel computational approaches and state-of-the-art computation algorithms, such as soft computing, artificial intelligence-based machine ...
is the set of bicluster sizes, and ϵ>0�>0 is a parameter that sets the aggressiveness of the penalty.Bob uses the following algorithm to find his solution: starting with a random assignment of rows and columns to clusters, he reassigns row and columns to improve the objective function...
Process control strategies applied to microalgae-based biofuel production 6.4.2.3Fuzzy logic controllers Fuzzy logic controllersare based on fuzzy logic, which are derived from fuzzy sets, a mathematical system that analyzes analogue input values in terms of logical variables that take on continuous valu...