VirusShare is proud to have played a part in assisting the tireless efforts of the global research community and is thankful to the researchers who have contributed to the project. Below is an incomplete but growing list of publications that have cited VirusShare as a data source for their research. A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection. Journal of Network and Computer Applications , A multilabel fuzzy relevance clustering system for malware attack attribution in the edge layer of cyber-physical networks.
Research paper on fuzzy logic
Latest research paper on fuzzy logic pdf
Artificial intelligence , defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is Weak AI , the form of AI where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis , electronic trading platforms , robot control , and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. AI researchers have created many tools to solve the most difficult problems in computer science. Many of their inventions have been adopted by mainstream computer science and are no longer considered a part of AI. See AI effect.
Real-Life Applications of Fuzzy Logic
Any online B2B platform which has a company registration process faces the common challenge of data harmonization with respect to the names of the registered entities. A common example is Cloud Service Providers who have several business organizations and their entities as customers. If the Cloud Service Provider wants to determine their biggest customers, they are often faced with a daunting task of harmonizing the business entity names and map them to their parent or legal entities. Quite a few organizations today handle this through painstaking manual processes. The potentials of such a study can be exploited in various other domains like e-Procurement, e-Auctions, government electronic platforms where there is substantial data harmonization needs.
In propositional logic, the simplest statements are considered as indivisible units, and hence, propositional logic does not study those logical properties and relations that depend upon parts of statements that are not themselves statements on their own, such as the subject and predicate of a statement. The most thoroughly researched branch of propositional logic is classical truth-functional propositional logic, which studies logical operators and connectives that are used to produce complex statements whose truth-value depends entirely on the truth-values of the simpler statements making them up, and in which it is assumed that every statement is either true or false and not both. However, there are other forms of propositional logic in which other truth-values are considered, or in which there is consideration of connectives that are used to produce statements whose truth-values depend not simply on the truth-values of the parts, but additional things such as their necessity, possibility or relatedness to one another.