Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to e...

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 engine...

An approach to the diagnostic type expert systems design based on the special matrix representation of fuzzy predicates in the attribute model of the problem domain is presented. Intensive representation of predicates by means of sectional matrices is an analogue of the conjunctive normal form. Rules, positive examples and negative examples (in general, all fuzzy) can be used to form knowledge ...

The objective of our study is to design fuzzy expert system to diagnose the jaundice. To diagnose the jaundice both Mamdani and Sugeno fuzzy expert system is used. The symptoms of the jaundice are fed as inputs of fuzzy inference system and the outputs, i.e. grade of disease, is obtained. The grade is obtained using the fuzzy tool in MATLAB R2007a software. Ten patients of different ages and ge...

This is the pre-peer reviewed version of the article: Mohanty J R, Verma B B, Ray P K, Parhi D R K, Prediction of mode-I overload-induced fatigue crack growth rates using neuro-fuzzy approach, Expert Systems with Applications, 37(2010), 3075-3087, which has been published in the final form at http://www.sciencedirect.com/science/journal/09574174 Prediction of mode-I overload-induced fatigue cra...

Regression testing is an immensely important process in the maintenance phase. The prioritization of test case becomes all the more important owing to the fact that it is not feasible to run all the test cases after each and every change. The proposed work dwells on the power of fuzzy expert system to make decisions which are better than the normal expert systems. The technique uses concepts li...

http://dx.doi.org/10.1016/j.eswa.2014.07.058 0957-4174/ 2014 Elsevier Ltd. All rights reserved. ⇑ Corresponding author at: Department of Civil Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. Tel.: +60193129194. E-mail address: [email protected] (M.Z. Jumaat). Kh Mahfuz ud Darain , Mohd Zamin Jumaat a,⇑, Md. Altab Hossain , Md. Akter Hosen , M. Obaydullah , Md. Nazmul Huda , I. Ho...

insurance industry experts believe that fraud is a destructive disaster in the insurance industry. over the years, many methods have been used in the literature for fraud detection, one of which is expert systems. fraud detection expert systems are based on the knowledge of experts in the field of insurance identify fraud. judgment of experts is mostly based on evidence, documents, qualitative ...