We address the prediction of the gene structure using a new method and tools, involving the sequence of distances between bases and neuro-fuzzy predictors. The method is tested on the HIV virus genome and the results look promising compared to other methods. We suggest that new, global prediction methods based on implicit, not explicit knowledge, may be as strong as the current, largely explici...

the aim of the present study was to find the best or optimum topology of six chicken populations, which were genotyped based on nine highly polymorphic microsatellite markers. to reach this goal, different genetic distances based on infinite allele model (iam), stepwise mutation model (smm) and drawing phylogentic trees on un-weighted pair-group method using arithmetic averages (upgma) method w...

Much research has shown that fuzzy c-means clustering is a powerful tool for partitioning samples into different categories. However, the cost function of the classical fuzzy c-means (FCM) is defined by the distances from data to the cluster centers with their fuzzy memberships. In this study, a new fuzzy clustering algorithm, namely the fuzzy weighted c-means (FWCM), is proposed. In this propo...

This paper presents a method for fuzzy-logic-based reactive behavior control of an autonomous mobile system in unknown environments. Difficulties in behavior-based control arise mainly from the quantitative formulation of reactive behavior as well as from the need for efficient coordination of conflicts and competition among multiple types of reactive behavior. The main idea of the present stud...

The aim of the Traveling Salesman Problem (TSP) is to find the cheapest way of visiting all elements in a given set of cities (nodes) exactly once and returning to the starting point. In solutions presented in the literature costs of travel between nodes are based on Euclidean distances, the problem is symmetric and the costs are constant and crisp values. Practical application in road transpor...

We introduce a dominance intensity measuring method to derive a ranking of alternatives to deal with incomplete information in multi-criteria decision-making problems on the basis of multi-attribute utility theory (MAUT) and fuzzy sets theory. We consider the situation where there is imprecision concerning decision-makers’ preferences, and imprecise weights are represented by trapezoidal fuzzy ...

This paper is a fine review of various aspects related to the statistical handling of “ontic” random fuzzy sets by the means of appropriate distances. It is quite comprehensive and helpful, as it clarifies the status of fuzzy sets in such methods, explains the advantages of using a distance-based approach, specifies the pitfalls in which one should not fall when dealing with “ontic” random fuzz...

Body area networks is one of the types of wireless area networks which has been created to optimize utilizing hospital resources and for earlier diagnosis of medical symptoms, and ultimately to reduce the cost of medical care. This network like most of the wireless networks is without infrastructure and the embedded sensor nodes in the body have limited energy. Hence, the early power completion...