Web based Fuzzy Expert System and Its Applications - a Survey
نویسندگان
چکیده
The extensive use of the Internet for data collection, information and knowledge has become a popular activity. Expert system, which provide consultation along with reasoning are more beneficial when made available on the World Wide Web. Expert systems are basically of two types (i) Conventional and (ii) Fuzzy logic based systems. Conventional expert systems are mainly symbolic reasoning engines and very complex in nature while fuzzy expert systems are oriented towards numerical processing which handles even uncertain or imprecise information. The paper presents a comprehensive literature review of recent work in the area of expert systems; precisely web based fuzzy expert systems over the last two decades. This paper discusses application areas of web based fuzzy expert system extensively.
منابع مشابه
Designing an Expert System for Credit Rating of Real Customers of Banks Using Fuzzy Neural Networks
Currently, in Iran's banking system, non-repayment of facilities has become one of the biggest issues, and due to the lack of a proper system for proper allocation of facilities, they face a number of problems, including the problem of allocation of loans, the problem of failure to repay loans Of the central bank, or the amount of facilities increased from the amount of reimbursement. The solut...
متن کاملA Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer
Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...
متن کاملA Fuzzy Expert System & Neuro-Fuzzy System Using Soft Computing For Gestational Diabetes Mellitus Diagnosis
Gestational diabetes mellitus (GDM) is a kind of diabetes that requires persistent medical care in patient self management education to prevent acute complications. One of the common and main problems in diagnosis of the diabetes is the weakness in its initial stages of the illness. This paper intends to propose an expert system in order to diagnose the risk of GDM by using FIS model. The knowl...
متن کاملA Fuzzy Expert System & Neuro-Fuzzy System Using Soft Computing For Gestational Diabetes Mellitus Diagnosis
Gestational diabetes mellitus (GDM) is a kind of diabetes that requires persistent medical care in patient self management education to prevent acute complications. One of the common and main problems in diagnosis of the diabetes is the weakness in its initial stages of the illness. This paper intends to propose an expert system in order to diagnose the risk of GDM by using FIS model. The knowl...
متن کاملHybrid expert systems: A survey of current approaches and applications
This paper is a statistical analysis of hybrid expert system approaches and their applications but more specifically connectionist and neuro-fuzzy system oriented articles are considered. The current survey of hybrid expert systems is based on the classification of articles from 1988 to 2010. Present analysis includes 91 articles from related academic journals, conference proceedings and litera...
متن کامل