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...

This paper describes an intelligent computerized tool designed to aid managers of software development projects in planning, managing and controlling the development process of mediumto large-scale software projects. Systems dynamics is used to model and simulate the dynamic process of software development. The software development process is affected by some imprecise and vague variables that ...

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...

Finding a product with high quality and reasonable price online is a difficult task due to the fuzzy nature of data and queries. In order to handle the fuzzy problem, a new type-2 fuzzy reasoning based decision support system, the Web Shopping Expert for online users is proposed. In the Web Shopping Expert, an interval type-2 fuzzy logic system is used and a fuzzy output can be obtained using t...

Computer programs are playing key role in Medicine not only in Medical Information Systems but also in Medical Diagnosis and Surgery. Artificial Intelligence in Medicine particularly Expert Systems are used for diagnosis and robotics are used in surgery. The Robotics will assist the surgeon in Surgery. The Medical Expert Systems will assist the physician in Diagnosis. The information available ...

Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope with the uncertainty associated to complex environments such as dust forecasting problem. This paper presents novel hyb...

the selection of erp systems has been considered as one of the most influential and risky managerial decisions due to its heavy burden of purchase and implementation costs. the purpose of this paper is designing a fuzzy expert system for selecting the appropriate erp system based on the internationally selected and validated criteria for minimizing the risks of inappropriate selection. if an op...

suitable supplier selection is the most important factor in supplier chain management; so that correct decisions in this phase, caused to reduce costs, make permanent relationship with suppliers and strong competitive strategy in market. in this paper, by reviewing the past articles, important related criteria found and then weighting of criteria and evaluation of alternatives were done with fu...

This paper presents the fuzzy expert system for intelligent support of decision making about cause of stone construction crack of building. The system is based on some linguistic expert expressions formalised by 9 fuzzy knowledge bases. Tuning of fuzzy rules by genetic algorithms provided a good concordance between real causes of cracks and results of decision making by the system.

A majority of efforts in terms of technology commercialization have failed; however, the issue of commercialization and its high importance are agreed upon by policymakers, entrepreneurs, and researchers. This shows the high complexity of the commercialization process. One of the main solutions to overcome the commercialization problems is to predict the success of technology commercialization ...