Frequency Management And EMC Decision Making Using Artificial Intelligence/expert System Technology

1992 ◽  
Author(s):  
A. Drozd ◽  
V. Choo ◽  
A. Rich ◽  
B. Bowles
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
System Technology ◽  
Frequency Management

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

Artificial Intelligence in Medical Science

2014 ◽  
pp. 11-23 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Decision Making ◽  
Signal Processing ◽  
Expert System ◽  
Knowledge Base ◽  
Medical Diagnosis ◽  
Medical Science ◽  
Inference Engine ◽  
Medical Decision

Applying Artificial Intelligence (AI) for increasing the reliability of medical decision making has been studied for some years, and many researchers have studied in this area. In this chapter, AI is defined and the reason of its importance in medical diagnosis is explained. Various applications of AI in medical diagnosis such as signal processing and image processing are provided. Expert system is defined and it is mentioned that the basic components of an expert system are a “knowledge base” or KB and an “inference engine”. The information in the KB is obtained by interviewing people who are experts in the area in question.

Emerging Application of Fuzzy Expert System in Medical Domain

2015 ◽  
pp. 1-20 ◽  
Author(s):  
A. V. Senthil Kumar ◽  
M. Kalpana
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fuzzy Inference ◽  
Fuzzy Expert System ◽  
Inference Mechanism ◽  
Medical Practitioners ◽  
Fuzzy Operators ◽  
Decision Making Problem ◽  
Fuzzy Inference Mechanism

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine for symptomatic diagnostic remedies. In this chapter, construction of Fuzzy expert system is the focused, which helps to diagnosis disease. Fuzzy expert system is constructed by using the fuzzification to convert crisp values into fuzzy values. Fuzzy expert system consists of fuzzy inference, implication, and aggregation. The system contains a set of rules with fuzzy operators T-norm and of T-Conorm. By applying the fuzzy inference mechanism, diagnosis of disease becomes simple for medical practitioners and patients. Defuzzification method is adopted to convert the fuzzy values into crisp values. With crisp values, the knowledge regarding the disease is given to medical doctors and patients. Application of Fuzzy expert system to diagnosis of disease is mainly focused on in this chapter.

Application of an Expert System to the Design of Furnace of a Circulating Fluidized Bed Boiler

1994 ◽  
Vol 116 (3) ◽  
pp. 462-467 ◽  
Author(s):  
P. Basu ◽  
S. Mitra
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fluidized Bed ◽  
Cross Section ◽  
Circulating Fluidized Bed ◽  
New Technology ◽  
Fluidized Bed Combustion ◽  
The Subject ◽  
Circulating Fluidized Bed Combustion

The design of a boiler using a new technology, i.e., circulating fluidized bed combustion, requires a considerable amount of expertise, which is a combination of experience, knowledge of the subject, and intuition. Boiler vendors, who are required to prepare a large number of proposals, rely heavily on the the skill and judgment of their senior (expert) designers. An artificial intelligence based expert system can greatly simplify this task. This system can assist expert designers to store their experience and decision-making skill through the code of a computer program, which remains intact and ready to apply their skill uniformly and rapidly to all designs when required. This may allow novice designers to carry out routine proposal designs, freeing the experts to improve current designs. The present paper gives an illustration of the use of expert systems to the design of only one aspect of the furnace, which is furnace cross section. It shows that in addition to the standard method of determining the furnace area from the fluidization, the design can take advantage of previous experience, which lists grate heat release rate and other relevant parameters. The expert system also modifies the calculated value to meet different concerns of the boiler purchaser and/or his consultants. Finally the expert develops a compromise of different considerations and requirements with importance attached to them. The paper also shows how the design will change when the importance attached to a particular constraint is relaxed.

scholarly journals Sistem Pakar Diagnosa Kerusakan Mesin Sepeda Motor Transmission Automatic dengan Metode Forward Chaining Studi Kasus: AHASS 00955 Mitra Perdana

2019 ◽  
Vol 19 (3) ◽  
pp. 544
Author(s):  
Imron Imron ◽  
Miftah Nur Afidah ◽  
M Sinta Nurhayati ◽  
Sulistiyah Sulistiyah ◽  
Fatmawati Fatmawati
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Inference Method ◽  
Structured Decision Making ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Computer Based ◽  
Technology Users ◽  
Motorcycle Engine

Implementation of Expert System Diagnosis of motorcycle engine damage is a solution of motorcycle service at AHASS 00955 Mitra Perdana, Expert System is a system that is related to the knowledge possessed by experts and technology users to solve a problem. This article, discusses the design of decision-making applications that have an important role in the process of diagnosing motor engine damage. Because the system is currently running the user only hands over the motorcycle to the technician. The use of computer-based artificial intelligence can be a solution to problems in structured decision making. The design of this expert system is designed using the forward tracking inference method and is designed in the form of a website to facilitate users in using it.

scholarly journals Stock Price Prediction Methods based on FCM and DNN Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wennan Wang ◽  
Wenjian Liu ◽  
Linkai Zhu ◽  
Ruijie Luo ◽  
Guang Li ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fuzzy Clustering ◽  
Stock Price ◽  
Listed Companies ◽  
Prediction Methods ◽  
Stock Price Prediction ◽  
Price Prediction ◽  
Stock Value

With the rapid economic development and the continuous expansion of investment scale, the stock market has produced increasing amounts of transaction data and market public opinion information, making it further difficult for investors to distinguish effective investment information. With the continuous enrichment of artificial intelligence achievements, the status and influence of artificial intelligence researchers in academia and society have been greatly improved. Expert system, as an important part of artificial intelligence, has made breakthrough progress at this stage. Expert system is based on a large amount of professional knowledge and experience for a specific field. Computers of this system can be used to simulate the decision-making process of experts to provide a decision-making basis for solving some complex problems. This research mainly discusses stock price prediction methods on the basis of artificial intelligence (AI) algorithms. Fuzzy clustering is a data mining tool that has been developed in recent years and is widely used. Using this method to process super large-scale databases with various data attributes has the characteristics of high efficiency and small amount of information loss. Theoretically speaking, the use of fuzzy clustering technology and related index method can effectively reduce the massive financial fundamentals of listed companies. By analyzing the influencing factors of stock value investment, we specifically select from the financial statements of listed companies the five aspects that can reflect their profitability, development ability, shareholder profitability, solvency, and operating ability. The full text runs through a variety of AI methods that is the characteristic of the research method used in this article, which pays special attention to verifying the theoretical method model. Doing so ensures its effectiveness in practical applications. In stock value portfolio research, a portfolio optimization model, which integrates the dual objectives of portfolio risk and returns into the risk-adjusted return of capital single objective constraints and solves the portfolio, is established. The accuracy and recall of the FCM model are relatively stable, with accuracies of 0.884 and 0.001, respectively. This research can help improve the number and quality of listed companies.

Emerging Application of Fuzzy Expert System in Medical Domain

Fuzzy Systems ◽  
2017 ◽  
pp. 1667-1689
Author(s):  
A. V. Senthil Kumar ◽  
M. Kalpana
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fuzzy Inference ◽  
Fuzzy Expert System ◽  
Inference Mechanism ◽  
Medical Practitioners ◽  
Fuzzy Operators ◽  
Decision Making Problem ◽  
Fuzzy Inference Mechanism

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine for symptomatic diagnostic remedies. In this chapter, construction of Fuzzy expert system is the focused, which helps to diagnosis disease. Fuzzy expert system is constructed by using the fuzzification to convert crisp values into fuzzy values. Fuzzy expert system consists of fuzzy inference, implication, and aggregation. The system contains a set of rules with fuzzy operators T-norm and of T-Conorm. By applying the fuzzy inference mechanism, diagnosis of disease becomes simple for medical practitioners and patients. Defuzzification method is adopted to convert the fuzzy values into crisp values. With crisp values, the knowledge regarding the disease is given to medical doctors and patients. Application of Fuzzy expert system to diagnosis of disease is mainly focused on in this chapter.

scholarly journals PENGEMBANGAN SOFTWARE APLIKASI KOMPUTER BERBASIS EXPERT SYSTEM TECHNOLOGY DALAM PEMBELAJARAN AKUNTANSI

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Annisa Ratna Sari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Human Resources ◽  
Educational Process ◽  
Business Activity ◽  
System Technology ◽  
Modern Learning ◽  
Learning By Reading ◽  
Business Sectors ◽  
It Expert

PENGEMBANGAN SOFTWARE APLIKASI KOMPUTER BERBASIS EXPERT SYSTEM TECHNOLOGY DALAM PEMBELAJARAN AKUNTANSIThe rapid growth of technology causes a lot of changes in education, teaching process and business sectors. Accounting plays an important role in business activity. To provide competent human resources in educational accounting, it needs instructional innovations using the advance of information and technology. Using Expert System Technology as an accounting educational media is an example for it. Expert system is one subset of Artificial Intelligence which can be used for decision making or problem solving with an expert based knowledge. This article is intended to discuss about Accounting, Modern Learning, Expert System Technology, the Design of Expert System Technology, and the Use of Expert System Technology in Accounting Learning. By reading this article, everyone who related to educational process, is expected to make a quality improvement in accounting learning by using educational technology.

scholarly journals Application of artificial intelligence in the process of supporting the ship owner's decision in the management of ship machinery crews, in the aspect of shipping safety

2018 ◽  
Vol 19 (12) ◽  
pp. 121-125
Author(s):  
Zbigniew Łosiewicz ◽  
Dariusz Pielka
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Decision Level ◽  
Ship Owner ◽  
Competence Level ◽  
The Impact ◽  
Modern Tool ◽  
Selection Of

The article discusses the problem of the impact of crew competence level, including ship's engine crews on the amount of operational losses and the occurrence of failures. Errors made at a higher decision level generate serious consequences as a result of incorrect decisions in the operation of the ship, including loss of the ship. A higher level of qualification decreases the probability of improper operation of the ship while increasing the level of safety of navigation, which the ship is a participant. Expert systems are a modern tool that can help and automate decision making at sea, how to assist ship owners in the selection of competent deck and machine crews. In the article, an example of the possibility of using artificial intelligence was presented as an expert system, designed to support the ship-owner in the management of ship machinery crews in the aspect of shipping safety.

VALAB: Expert System for Validation of Biochemical Data

1992 ◽  
Vol 38 (1) ◽  
pp. 83-87 ◽  
Author(s):  
P M Valdiguié ◽  
E Rogari ◽  
H Philippe
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Real Time ◽  
High Throughput ◽  
Medical Patients ◽  
Hospital Department ◽  
Laboratory Results ◽  
Aid Decision ◽  
Age And Sex

Abstract In large laboratories that use "high-throughput" equipment, it is now possible to use artificial intelligence techniques to aid decision making and validation of data. This paper describes an artificial intelligence project, VALAB, that has been carried out in our laboratory. VALAB, an expert system that permits real-time validation of data, is designed to be equivalent to validation by the laboratory director. The decision produced by the expert system is based on several factors, including correlation between repeated laboratory results, physiological association between different variables, the hospital department from which the test was ordered, and the patient's age and sex. In 200 abnormal chemistry profiles randomly selected, VALAB's ability to detect abnormal cases (i.e., sensitivity = 0.75) was exceeded by only one of seven laboratory experts. However, all seven experts outperformed VALAB's measured specificity of 0.63. The VALAB system incorporates greater than 4000 rules. Operational since November 1988, it has validated greater than 50,000 medical patients' reports in real time.

Sign in / Sign up

Export Citation Format

Share Document