knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. the km strategy selection is a complex decision that requires consideration of several factors. for evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. the identified factors and their impact on kno...

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 purpose of this paper is to explore the ability to continually change and obtain new understanding of driving power of Expert Approach. Expert systems are able to advantageously replace human experts in various application areas with the involvement of ANN and Fuzzy Logic. Finally this hybrid system is formed to gain the outstanding performance from a expert system. The basic concept of ANN...

This paper deals with the design of the fuzzy expert system for processing data migration between different relational database management systems (RDBMS). At the beginning we identify current state of data migration between different RDBMS. Then we propose new approach which suggests creating of expert system as a tool for migration of database tables and their data between different RDBMS. Th...

a r t i c l e i n f o Keywords: Fuzzy logic expert system Fuzzy inference system Soil quality Soil restoration Soil physical indicators Due to landscaping, mining and construction activities on previously cultivated land, more and more soils are excavated, translocated, deposited and restored. In many cases restored soils show signs of structural degradation such as overcompaction and water log...

This chapter presents a new optimization method for clustering fuzzy data to generate Type-2 fuzzy system models. For this purpose, first, a new distance measure for calculating the (dis)similarity between fuzzy data is proposed. Then, based on the proposed distance measure, Fuzzy c-Mean (FCM) clustering algorithm is modified. Next, Xie-Beni cluster validity index is modified to be able to valu...