We introduce a fuzzy controller which uses a fuzzy rule base diierently to the classical Mamdani approach. We argue that it has several desirable and well-motivated properties which often cannot be obtained by a Mamdani controller. Let X and Y denote the input and the output space, respectively, and let F(:) denote the collection of all fuzzy subsets. The support of a fuzzy set A 2 F(X) is Supp...

In reliability theory, the reliability measures contend the very important and depreciative role for any system analysis. Measurement of reliability measures is not easy due to ambiguity and vagueness which exist within reliability parameters. It is also very difficult to incorporate a large amount of uncertainty in well-established methodologies and techniques. However, fuzzy logic provides an...

Rule processing can be subject to innnite loops-that is, rules may trigger one another indee-nitely. In database systems, this behaviour can be catastrophic; e.g., looping rules would certainly inhibit concurrency and saturate memory thus slowing down system throughput. In general it is unde-cidable to determine in advance if rules are guaranteed to terminate. If analysis algorithms are applied...

To deal with severe drought when water supply is insufficient hedging rule, based on hedging rule curve, is proposed. In general, in discrete hedging rules, the rationing factors have changed from a zone to another zone at once. Accordingly, this paper is an attempt to improve the conventional hedging rule to control the changes of rationing factors. In this regard, the simulation model has emp...

There are many methods introduced to solve the credit scoring problem such as support vector machines, neural networks and rule based classifiers. Rule bases are more favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants.In this paper multi-objective particle swarm is applied to optimize fuzzy apriori rule base in credit scoring. ...

We have been working on the MARVEL rule-based development environment (RBDE) for several years [9, 7], and are currently in the process of scaling up to supporting cooperation among multiple users working together on large projects [1]. This line of research led us to breaking up the previous single user MARVEL 2.6 implementation into the two main pieces of multiple user MARVEL 3.0: the clients...