What Is Bulanted Logic?

Logic is a science that examines the principles of correct reasoning. Traditionally, the two valuable logic of Aristotle assumes that each proposal is correct (1) or incorrect (0). However, most of the situations we encounter in everyday life can not be defined with the exact limits. Is the weather "a few cold"? Is a movie "very good" or "eh work"? Here, blurred logic (fuzzy logic) appeared to address ambiguities like this.

Bulanık logic is an artificial intelligence approach that forms decision-making mechanisms with unambiguous, language expressions by mimicing human thought and uncertain functioning of nature. This system allows us to determine the exact degree of logical advice by accepting all the range values from 0 to 1. The membership in a set of an object can only be defined with phrases such as "member member" or "not members" instead of "not members" or "oldukça member". This article will examine what this flexible thought system is, how it arises, and in-depth the wide range of applications available today.

What Is Bulanted Logic and How Does It Out?

Classic logic assumes that a condition or "direct" or "burn". But reality contains more than black and white. Here blurred logic has been developed to fill these gray areas. Earlier 1900s Jan Lukasiewicz proposed a three-worthy logic to express unambiguous situations such as "belki" by exhibiting a posture against the logic of Aristotle. He has defined logical values in the range of [0, 1, 2], which allowed the correct and wrong as well as an intermediate value. This is considered one of the first seeds of fuzzy logic thought in modern sense.

But in 1965

94bd5ef&cc=tr">"Collen Clusters" article Home Lütfi Zadeh published. Zadeh observed that computer science is insufficient in identifying ambiguity and nearly mental execution processes in human thought. The human brain can be meaningd without binding the terms such as "hot," "long," "wood". When the temperature of a thermostat comes from 25°C to 26°C, it does not switch to the "hot" category, instead the degree of being "hot" gradually rises. Zadeh developed a system using all the real numbers in the closed range [0.1] to identify such gray fields. In this way, the temperature rating of a "liquid" of a water can be expressed as 0.8, if a "heat" water is 0.8. This approach has made decision-making processes more flexible and more close to reality.

What Time and Who Developed By Bulanık Logic?

The thought of blurred logic, first JanewiczEven though it is based on 's very valuable logic studies, the founder of modern sense is the Azerbaijani-based American mathematician and computer scientist Lütfi Zadehis. Zadeh was released in 1965. This article has searched a new door in the world of computer sciences by offering ways to express non-definite concepts mathematically.

After receiving electric engineering training at Zadeh, Tehran University at Massachusetts Institute of Technology (MIT) graduated from Columbia University in 1949. He continued academic studies in Columbia, Princeton and California Universities (Berkeley). He has given numerous significant contributions to the science world, from September 6, 2017. Zadeh’s leading study played a critical role in achieving artificial intelligence and automation to its current level.

How Does Bulanted Logic Work?

Unlike traditional approaches to solve a problem of logic, it works with undefinite, unambiguous data. The foundation includes membership functions and language variables.

• Sparkling Clusters (Fuzzy Sets) and Membership Degree: It belongs to a element or cluster in traditional clusters (the degree of level 1) or not belong (the degree of level 0). However, an element in blurred logic may belong to the cluster partially. For example, for a set of "long-sized people" the membership degree of a 1.75-meter person can be 0.6, 1.90 meters if a membership degree is 0.9. This means that the limits of the cluster are not determined by certain lines and adds flexibility to decision-making processes.

Language Variables (Linguistic Variables): The logic that we use in everyday language can numerically process niteifier terms such as "very," "one," "oldukça". These terms are associated with membership functions and are used to narrow or expand the scope of a value. For example, the speed of a "very fast" vehicle will have a higher degree of membership than a "fast" vehicle.

Poultry Procedures: The blur logic also warns its operations such as combination of classical logic (union) and intersection (intersection). When the intersection in classical logic finds elements in both clusters; in blurred logic, the question "how many elements are in two sets?" answers to the question and the minimum value is essential. The maximum value is used in the connection. This makes it possible to do consistent mathematical processes even with undefinite data.

Where to Use and Why Is It Important?

Thanks to its flexible and practical solution approaches to the logic, the wide application area has been found in many areas. It is preferred especially in systems where ambiguity and complexity are intense.

• Home and Consumer Electronics: The logic is recognized in this area. For example, modern washing machines automatically adjust the amount of detergent and washing time according to the degree of dirt. Air conditioning and refrigerators by detecting temperature changes works more efficiently. Control of camera focusing systems and vacuum cleaners is provided with this logic.

• Engineering & Automation: Robotic control systems are often used in engineering applications such as programming of automobile motors, safety braking systems and control of traffic lamps. For example, the functioning of a metro line provides a softer and comfortable driving by taking the decisions of stopping and acceleration with blur logic algorithms instead of sharp rules.

• Medical and Signal Processing: In medical patient diagnostic processes, it is used to interpret uncertain data in signal processing applications and AI systems. Complex algorithms such as handwriting, character and object recognition also benefit from this logic.

Bulanted logic is important to bring more efficient approaches to complex problems by offering similar solutions to human reason. It can work even with noise or missing data and the structure of these systems is easy to create because it resembles human logic. This flexibility has provided a wide range of use from its engineering to sociology.

What are the Advantages and Disadvantages of the Appeal Manik?

blur logic like each system also has certain advantages and disadvantages.

Advantages:

• Flexibility: Can work effectively even with noise or corrupt data.

• Human Similar Mental Execution: It provides efficient solutions to complex problems because it is very similar to human reason.

• simplicity: The logic used is simple and requires little memory, which makes it possible to apply even in microcontrollers.

• Mathematical Compliance: It can be easily combined with mathematical expressions.

Disadvantages:

• Expert Dependency: The creation of membership functions and a set of rules depends on the experience of experts in the problem. Finding experts may not always be easy or the knowledge of experts may remain insufficient.

• Systematic Approach Deficiency: There is no systematic and only method to solve a specific problem. The most appropriate function or rules are included through trial-out.

• Non-ufficient Information: Since the rules used are very dependent on human experience, the success of the system can not be guaranteed without expert experience.

The blurred logic has become an indispensable tool in the solution of uncertain and complex problems while it can be difficult if exact results are sought. This is one of the most flexible and powerful tools in the world of artificial intelligence.