Urgent application of fuzzy theory in the field of chemical engineering and cases

The Chinese name for mamdani algorithm is the traditional fuzzy reasoning method.

1. The reasoning method is a method of studying problems through generalization, abstraction, and reasoning on the basis of experiments, but some laws obtained by suspicion cannot be directly verified by experiments, and it is also called an ideal experimental method.

2. Definition of reasoning: the thought process of deriving an unknown conclusion from one or several known judgments (premises). Reasoning is formal logic. Aristotle.

Instrumental theory is the basis for the development of formal logic. It can be said that there is no formal logic without instrumentalism.

It refers to the fuzzy logic in fuzzy control, and the mamdani is also known as the traditional fuzzy late reasoning method, which is the most common fuzzy reasoning method.

In 1965, Professor Zadeh, an American cybernetic expert, founded the fuzzy set theory, which provided a powerful mathematical tool for describing and studying fuzzy phenomena. In 1974, the British automatic control expert professor successfully applied fuzzy language logic to industrial processes, marking the birth of fuzzy control. In the past 40 years, fuzzy control theory has made great progress and has been widely used in many fields.

In the field of economics, econometrics is based on economic and statistical theories, using given data to build models for economic evaluation, strategy evaluation, etc. The so-called ** is to use sample data and sample estimation model to estimate the ** value of the system at the future moment. So far, almost all the best models in econometrics regard economic phenomena as a random phenomenon and build a model for it according to statistical theory.

However, many economic phenomena are not only random, but also ambiguous. For example, when we say *** of a product, the term "good" is a vague concept. For this kind of economic phenomenon, if only its randomness is considered and its ambiguity is ignored, it is obvious that the effect of the established model will not be too ideal.

In addition, there are some economic phenomena in which there is not necessarily a statistical relationship between the relevant factors, which makes it difficult to establish statistical models for them. Sometimes, in order to obtain a higher simulation effect, the number of exogenous variables is often increased to establish a multivariate model, which not only increases the amount of calculation, but also accumulates errors. However, there are certain factors that can be blurred appropriately to improve accuracy.

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Fuzzy management theory) Professor Zade.

Fuzzy Logic is developed on the mathematical basis of the fuzzy set theory founded in 1965 by Professor Zade of the Department of Electrical Engineering at the University of California, Berkeley, and mainly includes fuzzy set theory, fuzzy logic, fuzzy reasoning and fuzzy control. As early as the 20s of the 20th century, famous philosophers and mathematicians wrote about it"Ambiguity"Target**.

Think that all natural language is vague, such as "red" and "old"."The concept has no clear connotation and extension, and is therefore unclear and vague. However, in a given context, people can use these concepts to describe a specific object with a clear understanding and rarely cause misunderstanding and ambiguity. In 1965, a professor at the University of California published the famous **, in which he first proposed the important concept of expressing the ambiguity of things:

membership function, thus breaking through Cantor's classical set theory at the end of the 19th century, laying the foundation of fuzzy theory.

Fuzzy theory refers to theories that use the basic concept of fuzzy sets or the function of continuous membership. It can be classified into five branches: fuzzy mathematics, fuzzy systems, uncertainty and information, fuzzy decision-making, fuzzy logic and artificial intelligence, which are not completely independent and are closely related to each other. For example, fuzzy control uses concepts from fuzzy math and fuzzy logic.

From the perspective of practical application, most of the applications of fuzzy theory focus on fuzzy systems, especially on fuzzy control. There are also fuzzy expert systems that are used for medical diagnosis and decision support. Since fuzzy theory is still new from both a theoretical and practical point of view, we expect that as the fuzzy field matures, more reliable practical applications will emerge.

Either the eyesight is bad or someone who drinks a lot of alcohol brings it up.

Graduates should have a basic knowledge of chemical unit processes and equipment; basic theories and methods of chemical processes; knowledge of chemical equipment, process control and other related engineering and technical knowledge and chemical production management knowledge; Able to engage in the use, maintenance, repair and debugging of chemical equipment and its operating system; The operation of chemical process and chemical production management. Main courses: Inorganic Chemistry, Chemical Drawing, Fundamentals of Chemical Experiments, Organic Chemistry, Analytical Chemistry, Physical Chemistry, Electrical Engineering, Chemical Instrumentation and Automation, Principles of Chemical Engineering, Chemical Equipment, Chemical Technology, Electroplating Process Technology, Chemical Equipment and Machinery, etc.

Employment destination: in chemical, oil refining, metallurgy, light industry, medicine, food, environmental protection and other enterprises and institutions (industries), engaged in production and operation, technology development, technical management, equipment installation, commissioning and maintenance, chemical process design and production organization management, product quality analysis and inspection, chemical product marketing, etc., can also be engaged in individual production and business activities, directly engaged in the production, marketing and management of chemical products. Applied Chemistry Major:

Business training objectives: This major cultivates senior professionals who have strong experimental skills in basic theories and basic knowledge of chemistry, and can engage in scientific research, teaching and management in scientific research institutions, colleges and universities, enterprises and institutions. Business training requirements:

Students in this major mainly learn the basic knowledge, basic theories, basic skills and related engineering and technical knowledge in chemistry, receive scientific thinking and scientific experiment training in basic research and applied basic research, have good scientific literacy, and have the basic skills of applying the knowledge and experimental skills learned to applied research, technology development and science and technology management. Graduates should acquire the following knowledge and abilities: 1. Master the basic theories and basic knowledge of mathematics and physics; 2. Master the basic knowledge, basic principles and basic experimental skills of inorganic chemistry, analytical chemistry (including instrumental analysis), organic chemistry, physical chemistry (including structural chemistry), chemical engineering and chemical drawing; 3. Understand the general principles and knowledge of similar majors; 4. Understand the national policies and regulations on science and technology, chemical-related products, intellectual property rights, etc.; 5. Understand the theoretical frontiers, application prospects, and latest development trends of chemistry, as well as the development status of chemistry-related industries; 6. Master the basic methods of data inquiry, literature retrieval and the use of modern information technology to obtain relevant information in Chinese and foreign languages; Have the ability to design experiments, create experimental conditions, summarize, sort out and analyze experimental results, write and participate in academic exchanges.

Main Courses: Main Subjects: Chemistry Main Courses:

Inorganic Chemistry, Analytical Chemistry (including instrumental analysis), Organic Chemistry, Physical Chemistry (including Structural Chemistry), Fundamentals of Chemical Engineering and Chemical Drawing.

Pattern recognition is one of the important areas of computer applications. The human brain is able to effectively handle complex problems with very low accuracy. If a computer uses fuzzy mathematics, it can greatly improve its pattern recognition ability, which can simulate the activities of the human nervous system.

In the field of industrial control, the application of fuzzy mathematics can make the temperature control of air conditioners more reasonable, and washing machines can save electricity, water and improve efficiency. In the management of large systems in modern society, it is possible to form more effective decision-making by using fuzzy mathematical methods.

Here's an example:

To determine whether a person is bald, if less than 500 hairs are considered bald, then the computer will think that 499 are bald and 501 are not bald, but we people will think that one more is also bald? And what about 502? 503……Then we are all bald ......

So what is the conclusion of fuzzy mathematics? 499 is a 100% chance of being bald, 501, 10,000? Well, the possibility is baldness. Hehe, the machine can also judge.