characteristics. Classification as an essential data mining technique used to develop models describing different soil classes. Such analysis can present us with a complete understanding of various soil databases at large. In our study, we proposed a novel Neuro-fuzzy classification based technique and applied it to large soil databases to find out significant relationships. We used our technique to three benchmark data sets from the UCI machine learning repository for soil categorization and they were namely
the world. Detection and analysis of the disease is a significant part of data mining research. Classification as an essential data mining procedure also helps in clinical diagnosis and analysis of this disease. In our study, we proposed a novel Neuro-fuzzy classification based method. We applied our method to three benchmark data sets from the UCI machine learning repository for detection of breast cancer; they were namely Wisconsin Breast Cancer (WBC), Wisconsin Diagnostic Breast Cancer (WDBC), and
Neural Networks, Special issue on Data Mining and Knowledge Representation (2000). [17] Mutanen,Teemu. Customer churn analysis- a case study, Research Report VTTR0118406, March 15, 2006. [18] De Oliveira, J.V., Pedrycz W. (editors) (2007) Advances in Fuzzy Clustering and its Applications, John Wiley & Sons Ltd. [19] J. Hadden, A. Tiwari, R. Roy, and D. Ruta. Churn Prediction using Complaints Data. International Journal of Intelligent Technology, 13:158{163, May 2006. [20] H. Van Khuu, H.-KieLee, and
to accomplishing this goal are neural networks and fuzzy logic control systems. This paper will only concern itself with the latter. Fuzzy logic control systems are designed to mimic the approximate reasoning of human thinking and decision making. Instead of standard computer logic, which is based on only 1’s and 0’s or true and false, fuzzy logic is based on a more loose set of linguistic rules that are called the knowledge base. The fuzzy control system is designed to mimic the effects of
of which five are universal and the sixth one is used specifically for different applications. Prediction of RMR by the use of fuzzy logic makes it easier to predict the rating of rock more or less the same as calculated from experimental data. It becomes of great importance at the moment when we don’t have the rating tables of the six parameters, then by the use of fuzzy membership functions, we can approximately predict the RMR of the rock. Introduction While working on fields, it is impossible
After taking the extremely difficult decision to discontinue my studies of Computer Science at Imperial College London, returning to the academic world to study Computing has been my greatest desire and challenge. My guiding principle has been my passion to keep learning about and using Computers and Mathematics. Having a profound interest in discrete mathematics, I have always wanted to work on logic and that is the major reason for me to choose Computing. During my A-levels, I learned Visual Basic
Mind and Machine: The Essay Technology has traditionally evolved as the result of human needs. Invention, when prized and rewarded, will invariably rise-up to meet the free market demands of society. It is in this realm that Artificial Intelligence research and the resultant expert systems have been forged. Much of the material that relates to the field of Artificial Intelligence deals with human psychology and the nature of consciousness. Exhaustive debate on consciousness and the possibilities
Expert Systems: The Past, Present and Future of Knowledge-based Systems Expert Systems were invented as a way to decrease the reliance by corporations on human "experts" -- people who apply reasoning and experience to make judgements in a specific field, such as medicine, insurance underwriting or the operation of a power-plant. Hence, an expert system should include a database of facts and a way of reasoning about them. In many, but not all, applications it is also helpful to have a way for
Hollow Words in Winesburg, Ohio Sherwood Anderson, in his masterpiece Winesburg, Ohio was writing against the notion that stories have to have a plot which reveals a moral idea or conclusion. Like the "tales" that Doctor Parcival tells George Willard in "The Philosopher," Anderson's short stories also seem to "begin nowhere and end nowhere" (51). We as readers must, like George Willard, decide if such stories are little more than "a pack of lies" or if rather, "they contain the
Middleton Mutual is a large insurance company that is seeking innovation. The Chief Information Officer, Dennis Devereaux, and Vice President of Information Systems, Max Vargo, are trying to push for a new expert system to ease up the underwriting process of their company. The issue that arises in the company is that certain higher ups aren’t willing to fund this one million dollar project without proof of return. Within the next year, the company will be losing two underwriters. Devereaux has his
Therefore it is quite hot area for researchers to build such a system so that people can get out of these problems, and successfully they have implemented so far an intelligent system, which is mostly based on fuzzy logic technology to manage control traffic lights. Figure 2.1: The simulated fuzzy logic traffic control system Limitations: • By implementing such a system it requires a high cost Ratio. • Accuracy of the same system can be increased by using PLC based system. • Highly chance of error
which are investigated and used, are: • Artificial Neural Network • Expert Systems • Genetic Algorithms • Fuzzy Logic • Artificial Life • Natural Language Processing • Robotics • Voice and Face Recognition (Tektaş, 2010). 4.1. Artificial Intelligence Based on Fuzzy Logic Fuzzy logic is a subject in its own right as a mathematical; also it is a subunit of artificial intelligence. The aim of fuzzy logic is, to draw conclusions closer to life by modelling human’s t... ... middle of paper ... ...identified
Drought is a multi-causal and complex environmental issue, and can have serious socioeconomic consequences. Recently, IPCC (the Intergovernmental Panel on Climate Change) in Fourth Assessment Report (AR4) concluded that South Asia and the Middle East would experience sever, prolonged droughts as a result of global climate changes, explicitly the increase in greenhouse gases in the atmosphere (IPCC, 2007). Drought is a weather-related natural disaster whose effect is aggravated by human activities
Support communications? Why or why not? Advantages and disadvantages are an equal part of Expert Systems and ROI analyses; however, each is based on circumstances based on each unique case. One main shortcoming of the ROI analysis is the strong base on statistical analysis which may fail to recognize certain areas of opportunity not explored. Previously stated, the Expert System was used to interact directly with a broad range of students and exceeded its original purpose by providing more marketing
B. Naïve Bayesian Classification In machine learning, Naive Bayesian Classification is a family of a simple probabilistic classifier based on the Bayes theorem (or Bayes’s rule) with Naive (Strong) independence assumption between the features. It is one of the most efficient and effective classification algorithms and represents a supervised learning method as well as a statistical method for classification. Naïve Bayesian classifiers assume that the effect of an attribute value on a given class
Background Neuro Linguistic Programming (NLP) was developed in the 1970s by a linguist John Grinder and by a mathematician Richard Bandler. Neuro Linguistic Programming (NLP) is a therapy that deals with one’s perceptions of the world by their experiences, beliefs, values, assumptions, and sensory systems. NLP was developed by studying and examining the modeling pattern of human internal and external behaviors of the world. According to NLP website, “NLP investigates the inner functions of the human
What is Neuro-Linguistic programming? Neuro – Linguistic programming is concerned with how individuals absorb and make sense of information (Young 1983, p.1012). It is referred to as a model of human behaviour and cognition (weaver 2010 p.40). It has been stated (O’Connor, 2001, p1) as the study of brilliance and quality. Neuro-linguistic programming started with John Grinder, who was a linguistic professor and Richard Bandlar who had both a mathematical and computer programming background (Gleeson
have tried it, and of those people, 10-14% become dependent of the drug (1). Marijuana is often referred to as the "gateway" drug, leading the user to more serious narcotics. Marijuana users experience different sensations, from excessive mellowness, fuzzy memory, to the munchies. Some of the typical effects are impairment of memory, alteration of memory, motor coordination, posture, cognitive ability, and sensory perception. So what is it in marijuana that keeps users wanting more? The active ingredient
Abstract: In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial Intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service systems. Study in the area of artificial intelligence
Study of Literature for related work is the most important step in software development process. Before designing and developing the tool it is necessary to determine the time factor, the economy and company strength. Considering the importance of software reliability in software engineering, its prediction becomes a very fundamental issue. Machine learning and soft computing techniques have been leading the statistical techniques in last two decades as far as their applications to software engineering