[PDF] Top 20 Rough Set Approach to Development of a Knowledge-Based Expert System

... The Expert System was designed to assess all data available for a particular well through the zone of interest and to give the "best" first-pass ...the expert-system shell is capable ... See full document

... the knowledge and experience of expert ...a knowledge-based expert system for diagnosis of common diseases of the spine and treatment recommendations based on movement ... See full document

... plans. Rough set theory, developed by Pawlak [1] [2] and by Pawlakand Slowinski [3], is a mathe- matical tool that may be used to support decision-making processes in fields such as medicine, banking and ... See full document

... the development of organizational ...Dominance-based Rough Set Approach (DRSA) ...of Rough Sets allow us to sim- plify the process of selecting a portfolio of sustainable ... See full document

... using rough set theory, portioning, while Gupta et al[20] use mathematical programming as an alternative to multivariate discriminant analysis for business failure prediction ...prediction, expert ... See full document

... the set of all discovered ones, an extra effort is needed [9,14]. Rough set theory offers another kind of inductive learning in designing rough set decision rules from data written in ... See full document

... an approach used to segment tissues in a nuclear medical imaging method known as positron emission tomography (PET) (Wong, Feng, Meikle and Fulham, ...and development planning to identify programs to ... See full document

... a system that one does not know how to apply faces significant ...the development of the system faces challenges in the development of problematic topics that represent the weakly learned ... See full document

... Rough set theory, proposed by Pawlak [9], is an effective mathematical approach to deal with uncertainty, granularity and incompleteness of ... See full document

... According to Little and Rubin [7], real time processing applications are highly dependent upon the data which causes the problem of missing input variables. Various heuristic methods of missing data imputation such as ... See full document

... X. Rough set modeling assumes the existences of several attribute in a data set are more important compares to ...the rough set approach consists of several steps leading towards ... See full document

... An expert system has some main components, ...interface, expert system database, knowledge acquisition facility, and inference ...some expert systems, ...the system. The ... See full document

... An Expert System is defined as a computer program that represents knowledge and can reason with ...human expert in giving a recommendation on the possible cause of a problem ...solve ... See full document

... supplier based management and dependence of companies on their ...and development are the three main categories of supplier base management ...outranking, expert systems, total cost of ownership, ... See full document

... detection system is first pioneered by James P Anderson in the year 1980 ...trails, system and application logs, and alterations of files for detecting ...sets, rough sets gained a massive attraction ... See full document

... Symptoms etc. have been gathered from internet and doctors to identify effective parameters in relation to Chikungunya diagnosis. These attributes shown in Table II. The attributes of age distribution, IgM : IgG ratio, ... See full document

... The large coverage of cellular and satellite network lead to various useful applications in our daily life. GPS (Global Positioning System) is used to track the pilgrims’ location. Every year number of pilgrims ... See full document

... Information System (GIS) tool is utilized to examining spatial data from various ...this system will be beneficial for farmer’s community in estimation of the required submersible pumping ... See full document

... a set of rules to be followed for the Knowledge representationis considered as an important factor in ...therefore, knowledge representation ... See full document

... both rough and ...precision rough set) approach is proposed based on substitution of the indiscernibility relation by a fuzzy indiscernibility relation in the rough approximation ... See full document