Demands Estimation of New Telecommunication Services in Fuzzy Environment

Abstract

With the uncertain influential factors of demands and the lack of required historical data, demand estimation for new telecommunication services have generally relied just on marketing survey and analysis. However, the data collected from marketing survey are usually expressed in human linguistic forms and hence are fuzzy in nature. That means the estimation method derived from traditional sampling theory cannot fully represent such fuzzy data and thus biased consequences caused often. Therefore, in this study, to completely capture the uncertainty of the surveyed data, we adopt a series of analytical methods based on fuzzy set theory to construct a fuzzy estimation model. Based on the proposed model, a solution procedure is developed to aid users to acquire the demands of new telecommunication services. Finally, the solution procedure is employed to estimate demands of mobile phone service within one year in Taiwan with satisfactory results.

Dynamic Fuzzy Logic Elevator Group Control System for Energy Optimization

“…The more complex design became a serious obstacle for the actual implementation of the system. On the other hand, fuzzy reasoning logic has been designed to represent very complex models difficult to depict ( [25] - [31]) and combines both fast performance and cheap implementation. The fuzzy EGCS depicted in [32] constitutes a typical example, where, as is usual, the fuzzy design does not benefit from complete dynamic dispatching.…”