Rough sets theory for travel demand analysis in Malaysia

This study integrates the rough sets theory into tourism demand analysis. Originated from the area of Artificial Intelligence, the rough sets theory was introduced to disclose important structures and to classify objects. The Rough Sets methodology provides definitions and methods for finding which attributes separates one class or classification from another. Based on this theory can propose a formal framework for the automated transformation of data into knowledge. This makes the rough sets approach a useful classification and pattern recognition technique. This study introduces a new rough sets approach for deriving rules from information table of tourist in Malaysia. The induced rules were able to forecast change in demand with certain accuracy

Generalizing GAMETH: Inference rule procedure..

In this paper we present a generalisation of GAMETH framework, that play an important role in identifying crucial knowledge. Thus, we have developed a method based on three phases. In the first phase, we have used GAMETH to identify the set of “reference knowledge”. During the second phase, decision rules are inferred, through rough sets theory, from decision assignments provided by the decision maker(s). In the third phase, a multicriteria classification of “potential crucial knowledge” is performed on the basis of the decision rules that have been collectively identified by the decision maker(s).Knowledge Management; Knowledge Capitalizing; Managing knowledge; crucial knowledge;

A rough examination of the value of gas storage

This paper studies the impast of a fire in 2006 which removed the possibility of access to the Rough gas storage facilities covering 80% of total UK storage, at a time when major withdrawals from storage would likely have taken place. Implicitly, it shows the value of such storage facilities, in a country with relatively little storage, where we might therefore see a considerable impact. We find that the major effect on activity was through an increased sensivity of supply to prices and an increased variance in this sensitivity, not through plysical shortages of gas