What Is Fuzzy Logic?

TechDogs Avatar

Fuzzy logic is a way of thinking about and dealing with the world that's more like how humans think. Do you know? We don't have binary logic as computers do. It's all about gradients, shades of gray, and ranges of values. Two-valued logic—the kind computers use—can't handle that complexity. But fuzzy logic can! Fuzzy logic employs many-valued logic rather than binary (two-valued) to perform logical operations. While binary logic uses values of 0 and 1 to represent false and true (respectively), fuzzy logic uses values between 0 and 1 to express the level of veracity (much or minor). Fuzzy logic may be used in various fields, including control systems, neural networks, and artificial intelligence. Fuzzy logic is a form of reasoning that works with vague statements. In traditional logic, all statements are either true or false. Fuzzy logic allows for statements that are neither entirely true nor completely false. This approach can be helpful in many fields, including control systems and AI. Control systems use fuzzy logic to decide how much energy or water should flow through a system at any given time. Fuzzy logic can also be used in neural networks, which are computer models that mimic how human brains process information. Fuzzy logic is a powerful tool for understanding how humans think. Let's say you want to know what humans think about fat and thin people. You might ask five people to rank how lean or fat they believe each person is but, the results would be all over the map! Some might rank one person as "very thin," while others are "very fat." If you've ever tried to lose weight, you know that your body doesn't always define "thin" and "fat" in the same way. It's easy to see why: everyone has a different idea of what those terms mean. And once you start talking about other people, it gets even more complicated—if someone looks thin to me but not my friend, does that mean they're obese? Or am I just being judgmental? But there's hope! Fuzzy logic can help us understand what our brains are doing when they make these types of judgments—and how we can get them to make better decisions in the future.

TechDogs

Related Terms by Software Development

Scanning Electron Microscope (SEM)

The scanning electron microscope combines two of the most valuable types of microscopes: They function in the same way as a standard microscope but are superior. Imagine you are looking at the very tip of your nose right now and attempting to see what's there. To get a close look at those minuscule hairs, you would need a powerful microscope, and if you squinted your eyes that intently at your face, you would probably have a headache. Imagine instead employing a scanning electron microscope, in which case the electrons would perform all the work for you. Since electrons make it possible for visual display results to have better integrity and resolution, objects can be seen more clearly and be used for cutting-edge research and engineering. You may not believe anything like this might be beneficial in regular life, but it absolutely is. We wouldn't be able to see how the tiny parts of bugs work together to form a whole, nor would we be able to see how much space there is between each atom in our bodies if we didn't have scanning electron microscopes. We would know nothing about our world if it weren't for the scanning electron microscopes that are currently in use. An electron beam is used to analyze whatever is being viewed in a scanning electron microscope, which is a type of microscope. It is also known as an SEM, and it is really interesting. The SEM traces the paths that electrons go through in an experiment. An electron gun is responsible for releasing electrons, which can be thought of as a light bulb that releases electrons rather than photons (light particles). Then, after passing through a few different components, such as scanning coils and a detector for backscattered electrons. You now possess some images obtained from the SEM! The backscattered electrons are transformed into signals and then delivered to a display screen. So as you're doing it, you're looking at photographs of your product on your computer or television screen - that's awesome!

...See More

Secure Hash Algorithm (SHA)

Secure Hash Algorithm is a set of algorithms developed by the National Institutes of Standards and Technology and other government and private parties. Cryptographic hashes (or checksums) have been used for electronic signatures and file integrity for decades. However, these functions have evolved to address some of the cybersecurity challenges of the 21st century. The NIST has developed a set of secure hashing algorithms that act as a global framework for encryption and data management systems. The initial instance of the Secure hash Algorithm (SHA) was in 1993. It was a 16-bit hashing algorithm and is known as SHA-0. The successor to SHA-0, SHA-1, was released in 1995 and featured 32-bit hashing. Eventually, the next version of SHA was developed in 2002, and it is known as SHA-2. SHA-2 differs from its predecessors because it can generate hashes of different sizes. The whole family of secure hash algorithms goes by the name SHA. SHA-3, or Keccak or KECCAK, is a family of cryptographic hash functions designed by Guido Bertoni, Joan Daemen, Michaël Peeters, and Gilles Van Assche. SHA-3 competition to develop a new secure hash algorithm was held by the United States National Security Agency (NSA) in 2007. To be a super safe and fast hashing algorithm, SHA3 was developed from this contest. The evolution of cybersecurity has led to the development of several "secure hash algorithms." Security is a crucial concern for businesses and individuals in today's digital world. As a result, many types of encryption have been developed to protect data in various scenarios. One of these is hash algorithms. All secure hash algorithms are part of new encryption standards to keep sensitive data safe and prevent different types of attacks. These algorithms use advanced mathematical formulas so that anyone who tries to decode them will get an error message that they aren't expected in regular operation.

...See More

Segregated Witness (SegWit)

It is time to get this party started! SegWit is an agreement implemented in the Bitcoin cyber currency community. It is also a soft fork in the Bitcoin chain and has been widely accepted by miners and users. So what does it all mean? In short, if you are running a node (a piece of software that helps keep the Bitcoin network stable), you need to upgrade your software by April 27th, or else your node will stop working. SegWit was activated as part of a hard fork on August 24th, 2017. The most important thing to note about SegWit is that it fixes transaction malleability, which has plagued miners and users for years. However, you do not need to worry if you do not want to upgrade your software. You will still be able to use Bitcoin just fine! It is confusing, but it is not that confusing. Segregated Witness (SegWit) is a proposal to improve Bitcoin implemented in August 2017. It allows for more transactions per block, which means lower fees and faster transactions.SegWit2x is a proposal that would include a hard fork months after the initial adoption of SegWit, creating two bitcoins. One of these versions would have SegWit, and one wouldn't, but both would be called "Bitcoin" and act as separate currencies. BIP 148 is another proposal that includes a user-activated hard fork and proposes implementing SegWit.SegWit is a soft fork, not a hard fork. SegWit is a technical improvement that allows more transactions to be processed simultaneously, making the network faster and more efficient. A hard fork is when developers propose changes to the protocol. If most users accept those changes, there will be two versions of that particular cryptocurrency, one for each side. The Bitcoin Cash (BCH) chain split from Bitcoin in August 2017 as an example of a crypto hard fork. Bitcoin Cash is the result of a hard fork.

...See More