#fuzzy logic

[quotablefanfiction]

“Come on, I can be annoying way longer than you can be stoic, tell me, tell me, tell me, what is it, what is it wh-”

Stiles at Derek (chp. 1)

Fuzzy Logic by Sparseparsley (AO3) Teen Wolf – Explicit – Derek Hale/Stiles Stilinski #Alternate Universe #Bodyswap #Frottage #Animalistic #Werewolves #Mildly Dubious Consent

Derek and Stiles switch bodies because of wizard reasons and Stiles just wants to know what that awesome scent is.

[noosphe-re]

"International Journal of Fuzzy Systems is a semi-quarterly journal focussed on the theory, design, and application of fuzzy systems, ranging from hardware to software." https://link.springer.com/journal/40815

[oneyou]

Fort & Peat | Fuzzy Logic Magazine ♡˚. —2023.07 . .🗓

[daisies66]

Super Furry Animals sticker promoting the release of Fuzzy Logic, scanned by me.

[ainre]

today's my birthday and the answer is love. it's all about love and it always has been about love. everything is more or less one side of the coin and the other side is always love. the key is love. love is the only thing that can get you through this hell of a life. dont grow resentful and use fuzzy logic. there's a degree of love in everything even where you think you will never find it

[pregretting]

This song is a perfect encapsulation of being frustrated with the mundane.

[fuzzyleapfrog]

My name is Fuzzy

Hearing someone say my Twitter and Tumblr username out loud is pretty much a spiritual experience.

Oseman, A. (2018). I was born for this. HarperCollins Children’s Books.

I can't overstate how much this quote means to me. So many years ago I came up with the username Leapfrog for a wiki page. It's based on a method used in numerical analysis and it is used in numerical weather prediction models, which is what I was working on at the time. Not much later, I started my first public social media profile, but Leapfrog was already taken. So I added Fuzzy. It's based on fuzzy logic, so again something I was just learning about. Whereas Boolean logic is based on only two truth values,

Fuzzy logic [...] is a special many-valued logic which aims at providing formal background for the graded approach to vagueness.

Novák, V., Perfilieva, I., & Močkoř, J. (1999). Mathematical Principles of Fuzzy Logic. Springer.

That is how I became FuzzyLeapfrog, or simply Fuzzy.

Both words capture my nature and soul very well. I always try to find a numerical solution, while acknowledging that the world is more complex and vague than that.

So I've been called Fuzzy online for over a decade now, but gradually Fuzzy has also found its way into offline interactions. It's not just about me though. So many people I meet offline are people I met online and we very often address each other with our online names anyway. This has brought me so much joy and probably caused a lot of confusion for people who are unfamiliar with our online names or even the concept of online names.

Anyway, it doesn't matter how often I hear it, having someone acknowledge our online connection by calling my Fuzzy loudly offline is an endless source of inner joy. I am Fuzzy.

[lucasamandi]

E si comincia!

Buon anno! 🎉🎉🎉 Come avevo anticipato nei giorni scorsi, col 2025 cominceranno due rubriche: il mercoledì pubblicherò online la lettura di un testo (recital, poesia racconto etc.), mentre la domenica (più rilassati!) troverete sul canale una nuova cover musicale… quindi oggi comincia il podcast Pillole in Studio e lo trovate su YouTube e Spotify! Ecco i link al video: YOUTUBE –…

[wittgensteinbot]

[superpte]

Truth Can Be Absolute, But Also Fuzzy; And Higher Dimensional Truth, Most Powerful

There Is Such A Thing As Absolute Truth: Planes Fly… And that’s enabled by ABSOLUTE TRUTH… Not everything is relative, and especially not truth. The fact that planes fly proves that there is such a thing as absolute truth. Each plane crash is examined in excruciating detail to determine where there was a deviation from the right, correct and true. Any theocrats boarding a plane agrees to…

[themostfinalofpams]

This week on MoJo JoJo’s Bizarre Adventure, we’re discussing Buttercrush and Fuzzy Logic! Plus, I talk about my Gangreen Gang headcanons!

[thealchemyofgamecreation]

HWM Game Design Log (28): Archer AI

Hey, I’m Omer from Oba Games, working on our strategy/simulation game, Hakan’s War Manager. I’m sharing a design log to keep you updated on the process, especially for those who enjoy reading about it. Last time, I talked about trying out fuzzy logic in our game. Now, let’s discuss what went down. Tackling Archer AI with Fuzzy Logic For the archer part, my initial try focused on making the…

[emergingindiaanalyticsnoida]

Exploring The Intriguing Impact Of Fuzzy Logic On The Advancement Of Artificial Intelligence

Are you ready to dive into the fascinating world of fuzzy logic? It’s the secret ingredient behind the mind-boggling capabilities of advanced AI systems, and we’re here to unravel its mysteries. Whether you’re a tech enthusiast or just curious about how machines can mimic human reasoning, this blog post is your ultimate guide to understanding fuzzy logic – the powerful foundation that enables AI systems to make complex decisions in an uncertain world. Get ready for a journey filled with captivating insights, mind-expanding concepts, and real-world applications that will leave you in awe of what artificial intelligence can truly achieve. Let’s embark on this adventure together!

Introduction to Fuzzy Logic

Fuzzy logic is a type of AI that deals with imprecise or uncertain data. It relies on a set of rules known as fuzzy rules to make decisions. Fuzzy logic is different from traditional AI in that it does not require complete, accurate data to make decisions. This makes it well-suited for dealing with complex, real-world problems.

Fuzzy logic was first developed in the 1960s by Lotfi Zadeh. Since then, it has been used in a variety of fields, including medicine, engineering, and finance. In recent years, fuzzy logic has gained popularity as a tool for machine learning and artificial intelligence (AI).

There are many benefits to using fuzzy logic. It is tolerant of imprecise data and can deal with complex problems. Fuzzy logic is also scalable, meaning it can be applied to problems of any size. Fuzzy logic is interpretable, meaning that humans can understand the reasoning behind the decisions made by fuzzy systems.

Despite these advantages, there are some challenges associated with using fuzzy logic. One challenge is that designing a good fuzzy system can be difficult. Another challenge is that interpreting the results of a fuzzy system can be difficult for humans.

How Fuzzy Logic Works

Fuzzy logic is a type of AI that deals with imprecise or incomplete data. It can be used to create systems that are more human-like in their decision-making.

Fuzzy logic is based on the idea of set theory, which is the mathematics of dealing with groups of objects. In fuzzy logic, sets can have partial membership. This means that an object can belong to a set to some degree, without being a member of that set completely.

For example, consider the set of all animals. A cat would be a member of this set to a high degree, since it is an animal. However, a dog would only be a member of this set to a moderate degree, since it is not as animal-like as a cat (it does not have fur, for example). A rock would only be a member of this set to a very low degree, since it is not alive and does not have any characteristics that are similar to animals.

Fuzzy logic allows for more flexibility and nuanced decision-making than traditional AI systems. It can deal with imprecise data and make decisions based on probabilities rather than certainties.

Fuzzy logic has been used in many different fields, including medicine, engineering, and finance. It has even been used to create robot vacuum cleaners that can clean around obstacles and furniture without getting stuck!

Applications of Fuzzy Logic in Artificial Intelligence

Fuzzy logic is a form of artificial intelligence that is based on the concept of degrees of truth. Rather than the traditional binary system of true or false, fuzzy logic allows for a continuum of truth values between 0 and 1. This makes it possible to deal with imprecise or incomplete data, which is often the case in real-world situations.

Fuzzy logic has been used in a variety of fields, including medicine, engineering, and even financial decision-making. In medicine, fuzzy logic systems have been used to diagnose diseases, identify potential drug interactions, and develop treatment plans. In engineering, fuzzy logic has been used to control robots and other automated systems. And in finance, fuzzy logic has been used to develop stock market trading strategies and assess credit risk.

There are endless possibilities for the applications of fuzzy logic in artificial intelligence. As our understanding of this technology grows, so too will its potential uses.

Advantages and Disadvantages of Using Fuzzy Logic

There are many advantages and disadvantages of using fuzzy logic. Some of the advantages include:

1. Fuzzy logic can handle imprecise or incomplete information better than traditional logic systems. This is because it uses approximate rather than precise reasoning.

2. Fuzzy logic can deal with complex problems that are too difficult for traditional logic systems to handle.

3. Fuzzy logic is more flexible than traditional logic and can be adapted to changing conditions more easily.

4. Fuzzy systems can often be implemented more efficiently than traditional systems, since they require less processing power and memory.

Some of the disadvantages of fuzzy logic include:

1. The flexibility of fuzzy logic can also be a disadvantage, since it can make a system harder to design and understand.

2. Fuzzy systems can be more difficult to debug and test than traditional systems.

3. In some cases, the use of fuzzy logic can result in sub-optimal solutions to problems, due to the approximations used in the reasoning process.

Examples of Fuzzy Logic

Fuzzy logic is a type of AI that can deal with imprecise or incomplete information. It can help systems make better decisions by taking into account the human factor.

Some examples of how fuzzy logic can be used include:

-Autonomous vehicles: Fuzzy logic can be used to create safer autonomous vehicles by helping them to better understand and react to their environment.

-Weather prediction: Fuzzy logic can be used to improve the accuracy of weather predictions by taking into account variables that are difficult to measure, such as cloud cover.

-Medical diagnosis: Fuzzy logic can be used to help doctors diagnose diseases by taking into account symptoms that are not always easy to interpret.

Conclusion

Fuzzy logic is a powerful and complex tool that can be used to create advanced AI systems. It provides the ability to represent uncertain information, making it easier to build more accurate models and make better decisions. Understanding fuzzy logic is important for anyone interested in Artificial Intelligence or Machine Learning, as it forms an important foundation of these fields. With this knowledge, developers and scientists can continue researching new applications of AI technology while using fuzziness-aware methods to develop even smarter algorithms.

[structures-of-perspective]

With nothing absolute, and time being infinite, change becomes constant. Change is constant. Everything exists because nothing doesn't. The order of anything is subject to the significance of its relations with anything else. Being certain about any of those things is relative to the significance of our accurate knowledge. We are each limited beings.

These types of shapes we create, in attempts to see further with less or do more with ease, delay uncertainty often with the authority of purportedly better reasoning. Yet whose authority is to be trusted? When is proof 'proof enough'?

Lies exist as confounding counterfactuals. They are confabulations built from recombinations of the liar's memories. Necessarily pulling us further from certainty and into the void of uncertainty, the place where the confabulations of faith would guide us away to.

All the guesses or speculations or reimaginings we could ever muster amount to a fleeting drop in the bucket. I believe it is impossible, in any state of being, for anything but everything to know it all; and all of everything, in each and every state, cannot be said with honest certainty to be omniscient, nor omnipotent, nor omnibenevolent, nor omnipresent in the particulars.

Known effects have expected ranges, where local factors take precedence for local effects. As any cloud rolls thru, it passes on the winds which shape it presently, far removed from those of any distant past, a suggestion of what we might see on any tomorrow not too far removed from today.

[idol--hands]

Robot - "DON'T BLOCK ME!"

[magicalangel]

Look here, baby.

Do you see it?

✨

Fort x Peat for Fuzzy Logic (The Beach Days Gifset P2)