Fuzzy Logic Essay

Scriven (1991) would argue that evaluation has been around for many years, and is only now recognised as a discipline. He would go further and say it is like a knowledge which has been around for a decade before we were discussing its use, nature and logic. It is essentially different from science in its methods and thought. He would argue it is only recently we have appreciated its value as a discipline we still have a long way to go.

ABSTRACT- An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information [1]. Artificial Neural Networks (ANN) also called neuro-computing, or parallel distributed processing (PDP), provide an alternative approach to be applied to problems where the algorithmic and symbolic approaches are not well suited. The objective of the neural network is to transform the inputs into meaningful outputs. There are many researches which show that brain store information as pattern. Some of these patterns are very complicated and allows us to recognize from different angles. This paper gives a review of the artificial neural network and analyses the techniques in terms of performance.

Evaluates a condition and returns one value if the condition is true and a different value if the condition is false.

Boolean-Boolean is a part of large algebra that is used for creating a true or false, Yes or no statement. A Boolean can be written in algorithm and coding.

When you do the math you come up with the “Binary Truth Line” which is :

The if statement is one of the vital among decision making statements and it is mainly used for controlling the execution flow of statements within a program. It is a two-way decision making statement that is used in conjunction with test expression. The general form is given as:

Logic can be defined as the study of the methods and principles of correct reasoning or arguments. Logic teaches the techniques and methods for the correctness of different kinds of reasoning. It helps to detect errors in reasoning by examining and analyzing the various reasons. Logic investigates and classifies the structure of statements and arguments, both through the study of formal systems of inferences and through the study of arguments in natural language. It deals only with propositions that are capable of being true and false. Modern logic descends mainly from the ancient Greek tradition. All three philosophers; Aristotle, Bertrand Russell, and Immanuel Kant theorized the question of what is logic.

| Which of the following variables is used to store a condition that can be either true or false?Answer

True/ false statement summary, a statement is (true) if it is true for all cases. No untrue case can be found. This methodology determines the statement to be absolute truth.

As stated in our textbook the concept of the logical "or" and the logical "and":

accept as true or valid, even what is false or invalid. It results in an intentional misleading o get

Wang Ai-zhen , Ren Guo-feng [8] They determine the wash time by observing the input variables like Turbidity and turbidity change rate. In this paper the values are obtained from , the sensor of the washing machine i.e. Turbidity and turbidity change rate which is then passed to the information processing system , to process, the information was sent them to the controller. The value of input parameters are translated into fuzzy variables by the process of fuzzification, using MCU, accordance with the fuzzy inference rules and, the result is the fuzzy value. After defuzzification the crisp value, the washing time is obtained which we modify by the concept of soft computing neural

You can refine the results you receive from your 'if statement ' even further when you include 'and ' or 'or ' in the function. There are a couple of distinct differences in these types of additions. For starters, when you include 'and ' with the statement, all the conditions must be met in order for the true value to be returned. With the 'or ' statement, any of the conditions can be

Artificial intelligence can be defined as the theory that a technological system such as computers are able to independently perform tasks that would normally require the operation of a human being to achieve. The primary goal of an artificial intelligence system in a machine is to autonomously make decisions based on its perceived environment and efficiently complete a range of given tasks. Artificial intelligence in all forms seeks to mimic aspects and functions of human interaction and cognitive reception, and in doing so, the machines adapt to these functions and become a standardised system. Such technologies initially serve as an exemplary

Sustainable development demands that the world must move towards a more sustainable energy future. CO2 Capture and Storage (CCS) has emerged as a new advance energy technology to facilitate this transition in addition to renewable energy. There are socio-technical uncertainties hampering the deployment of this energy system which is very complex to model. In this paper, our focus is on uncertainties regarding public acceptance. It is widely accepted in the literature that people’s decisions (especially those of lay stakeholders) towards CCS, are fuzzy, imprecise and ambiguous. The literature of the field, even reports that at one point the decision is stable, and at another it is unstable—clearly an inherent problem in the dialogue surrounding this topic and predicting these behaviors presents a tremendous mathematical challenge. In this paper, we have made the first attempt to explore the theoretical feasibility of fuzzy sets in modeling these socio-technological uncertainties. Using this hard science method, we have proposed a new viewpoint that improves, but also deviates from the existing predictive methodologies our colleagues have adopted in modeling and predicting stakeholders’ complex decision-making behaviors. Using eight key socio-technical parameters, we have proposed a design of a novel human intelligence model based on fuzzy logic, for predicting these complex human behaviors on CCS life cycle. The data used in modeling the proposed system